Change Log¶

v3.32.1.5-1 (2021-08-06)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.32.1.5-1-2.1/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.32.1.5-1-2.2/index.html

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.32.1.5-1-2.3/index.html

for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.32.1.5-1-2.4/index.html

for Spark 3.0: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-3.0/3.32.1.5-1-3.0/index.html

for Spark 3.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-3.1/3.32.1.5-1-3.1/index.html

New Feature
- SW-2595 - Add ‘mean_per_class_error’ to model trainings map
- SW-2582 - Expose H2O-3 Mojo Model on H2OMOJOModel in Scala
Improvement
- SW-2594 - Upgrade to H2O 3.32.1.5
Bug
- SW-2581 - SW K8s External Backend Won’t Start If Number of Nodes is Greater than 2
- SW-2580 - Conversion Method asH2OFrame Throws Exception When an Input Contains a Column Named “na” or “null”
- SW-2573 - Fix interactionConstraints on H2OXGBoostMOJOModel in Python API
- SW-2572 - Fix getMonotoneConstraints() on H2OGBM and H2OXGBoost MOJO model.
Docs
- SW-2578 - Fix Link in Overivew of Examples

v3.32.1.4-1 (2021-07-15)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.32.1.4-1-2.1/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.32.1.4-1-2.2/index.html

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.32.1.4-1-2.3/index.html

for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.32.1.4-1-2.4/index.html

for Spark 3.0: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-3.0/3.32.1.4-1-3.0/index.html

for Spark 3.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-3.1/3.32.1.4-1-3.1/index.html

Bug
- SW-2577 - Fix Building of RSparkling Docker Images
Engineering Story
- SW-2576 - Upgrade to H2O 3.32.1.4
- SW-2575 - Upgrade Spark in Testing Docker Image to 3.0.3
- SW-2571 - Get AutoML Python Tests Alligned with PUBDEV-8175
- SW-2568 - Upgrade Spark in Testing Docker Image to 3.1.2 and 2.4.8
Docs
- SW-2569 - Add example of spark.ext.h2o.flow.extra.http.headers
- SW-2567 - Fix CoxPH example for Scala and Python

v3.32.1.3-1 (2021-05-27)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.32.1.3-1-2.1/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.32.1.3-1-2.2/index.html

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.32.1.3-1-2.3/index.html

for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.32.1.3-1-2.4/index.html

for Spark 3.0: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-3.0/3.32.1.3-1-3.0/index.html

for Spark 3.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-3.1/3.32.1.3-1-3.1/index.html

Improvement
- SW-2565 - Upgrade to H2O 3.32.1.3
Engineering Story
- SW-2561 - Fix Deployment of Testing Infrastructure for K8s Tests
New Feature
- SW-2560 - Expose all H2OMOJOModels from AutoML Leaderboard
- SW-2559 - Expose Scoring History and Variable Importances on H2OMOJOModel

v3.32.1.2-1 (2021-05-04)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.32.1.2-1-2.1/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.32.1.2-1-2.2/index.html

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.32.1.2-1-2.3/index.html

for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.32.1.2-1-2.4/index.html

for Spark 3.0: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-3.0/3.32.1.2-1-3.0/index.html

for Spark 3.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-3.1/3.32.1.2-1-3.1/index.html

Engineering Story
- SW-2558 - Upgrade dbplyr in SW Testing Docker Image
- SW-2556 - Upgrade “setuptools” during the build of testing docker image
Improvement
- SW-2555 - Upgrade to H2O 3.32.1.2
- SW-2553 - FinalizeFrame should log information about Frame
New Feature
- SW-2554 - Expose Blending Frame on H2OAutoML
- SW-2551 - Introduce Configuration Property for Setting CA Certificates in Pysparkling
- SW-2550 - Add ability to use old method for number of instances recognized during launch (for IBM SC)
- SW-2545 - Expose Leaderboard Frame (setLeaderboardDataFrame()) for AutoML
- SW-2537 - Add Support for Spark 3.1
Bug
- SW-2552 - Delete Train and Validation Frame after MOJO Model is Downloaded inside H2OAutoML.fit()
- SW-2549 - Fix Memory Leak of Frames in H2OAutoml
- SW-2546 - Target Encoder Throws Exception on Empty List of Input Columns
Docs
- SW-2548 - Fix Tutorial for H2OGAM
- SW-2547 - Add Tutorial for H2ODeepLearning

v3.32.1.1-1 (2021-03-30)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.32.1.1-1-2.1/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.32.1.1-1-2.2/index.html

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.32.1.1-1-2.3/index.html

for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.32.1.1-1-2.4/index.html

for Spark 3.0: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-3.0/3.32.1.1-1-3.0/index.html

Improvement
- SW-2544 - Upgrade to H2O 3.32.1.1
- SW-2542 - Reflect Changes on GAM According to PUBDEV-7860
- SW-2471 - Extend H2O Client Deprecation to 3.36
- SW-2447 - Remove Deprecation of getTrainingParams on H2OMOJOModel
Engineering Story
- SW-2543 - Extend Deprecation of withDetailedPredictionCol to 3.36
New Feature
- SW-2532 - Extend Target Encoder to Multinomial Problems
- SW-2525 - Expose Interactions on Target Encoder
- SW-2512 - H2OMOJOPipelineMOJOModel can Produce Predictions of Various Types
- SW-2505 - Scoring Package for Scala
- SW-2504 - Python Scoring Package
- SW-2466 - Extend Target Encoder for Regression Problems
- SW-2460 - Add H2O CoxPH to Algo API
Bug
- SW-2528 - GLM Model Trained via AutoML Throws Exception when Contributions Enabled
Docs
- SW-2522 - Add licensing information to docs
- SW-2510 - Mention Scoring Packages in Sparkling Water Documentation

v3.32.0.5-1 (2021-03-18)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.32.0.5-1-2.1/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.32.0.5-1-2.2/index.html

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.32.0.5-1-2.3/index.html

for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.32.0.5-1-2.4/index.html

for Spark 3.0: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-3.0/3.32.0.5-1-3.0/index.html

Improvement
- SW-2540 - Upgrade to H2O 3.32.0.5
New Feature
- SW-2539 - Disable SSL Certificate Verification in Python Client and Spark Instances Separately
Bug
- SW-2538 - The getGridModelsMetrics() and getGridModelsParams() Methods Do Not Name Columns Correctly
- SW-2535 - Fix Handling of Flow UI SSL Configuration
Engineering Story
- SW-2536 - Update Spark in Docker Images to 3.0.2
- SW-2530 - Enable Beta Constraints Tests On H2OGAM and H2OGLM
Docs
- SW-2534 - Update docs to reflect correct ice dir call for 3.30
- SW-2529 - Fix Imports in Documentation Sample for Pipeline MOJO

v3.32.0.4-1 (2021-02-02)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.32.0.4-1-2.1/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.32.0.4-1-2.2/index.html

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.32.0.4-1-2.3/index.html

for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.32.0.4-1-2.4/index.html

for Spark 3.0: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-3.0/3.32.0.4-1-3.0/index.html

Docs
- SW-2524 - Upgrade Links in readme.md to Documentation for Spark 3.0
- SW-2523 - Remove Documentation Badge From Redme.md
- SW-2499 - Document Properties for running SW on EMR 5.32
Improvement
- SW-2521 - Upgrade to H2O 3.32.0.4
Engineering Story
- SW-2519 - Fix Flaky Test in AnomalyPredictionTestSuite
- SW-2513 - Stop Publishing 32bit Artifacts to Conda Repository
- SW-2509 - Increase Limit of K8s Tests for Automatic External Backend
Bug
- SW-2517 - Fix TargetEncoder MOJO for Distributed Environment
- SW-2515 - Fix TargetEncoder for Usage in Python Pipeline
- SW-2514 - Delete Train and Validation H2O Frame after Training a Model

v3.32.0.3-1 (2020-12-30)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.32.0.3-1-2.1/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.32.0.3-1-2.2/index.html

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.32.0.3-1-2.3/index.html

for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.32.0.3-1-2.4/index.html

for Spark 3.0: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-3.0/3.32.0.3-1-3.0/index.html

Improvement
- SW-2508 - Upgrade to H2O 3.32.0.3
Engineering Story
- SW-2507 - Set Seed in AnomalyPredictionTestSuite
- SW-2506 - Fix Python Isolation Forest Test after H2O Changes
- SW-2500 - Temporarily Disable Beta Constraints Tests
- SW-2497 - K8s Tests Should Transform Datasets in a Distributed Way
- SW-2494 - Add Branch Name to Nightly Artefact on DockerHub
- SW-2493 - Proper Removal of Sparkling Water Images from Local Docker Registry
- SW-2490 - Rename Driver Pods to Fix K8s Tests in Client Mode
- SW-2488 - Enable Generation of Dependency License Report as CSV
- SW-2457 - Fix Deployment of Kubernetes Tests on Jenkins
Bug
- SW-2503 - Tried using port 54321 for Flow proxy, but port was already occupied
- SW-2502 - Fix Propagation of randomLink and randomFamily to MOJOModel Properties
- SW-2501 - ClassSamplingFactors Parameter Throws Exception During Deserialization
- SW-2498 - Try to Lock Cloud Multiple Times
- SW-2496 - Fix the Flow link for DBC (Azure (latest Runtime))
- SW-2491 - Loading of Pipeline Containing SW Stage Throws NPE
Docs
- SW-2495 - Fix K8s Examples in Sparkling Water Documentation
New Feature
- SW-2487 - Keep node-specific API open despite K8S API shutdown

v3.32.0.2-1 (2020-11-19)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.32.0.2-1-2.1/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.32.0.2-1-2.2/index.html

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.32.0.2-1-2.3/index.html

for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.32.0.2-1-2.4/index.html

for Spark 3.0: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-3.0/3.32.0.2-1-3.0/index.html

Improvement
- SW-2486 - Upgrade MOJO runtime to 2.5.3
- SW-2485 - Deprecate Apache Spark 2.1
- SW-2484 - Upgrade to H2O 3.32.0.2
- SW-2472 - Remove xmxMapper from Examples in Documentation
- SW-2469 - Proper Locking of H2O Frames during Conversion from Spark Data Frames
New Feature
- SW-2482 - Expose Interaction Constraints on H2OXGBoost
Engineering Story
- SW-2480 - Fix Publishing of Nightly Build Images to DockerHub
- SW-2479 - Show Stack Trace of Exceptions in Failed Tests
- SW-2478 - Run Databricks Automated Tests on ML Runtime Versions
- SW-2477 - Replace IcedHashMapWrapper with New guessType Method On PreviewParseWriter
- SW-2468 - Enable to Run Python Tests with SW Runtime Individually
Bug
- SW-2476 - asH2OFrame Could Fail on ArrayIndexOutOfBoundsException
- SW-2474 - Fix Monotone Constraints on GBM and XGBoost MOJO Model
- SW-2470 - Fails to Convert Categorical Columns on Big Dataset and Identity Column
- SW-2467 - Fix Publishing of SW Booklet
- SW-2465 - Fix HamOrSpam Python Integration Test
- SW-2437 - Make Sparkling Water Runnable on Databricks ML Distributions
Docs
- SW-2473 - Update Sparkling Water MOJO Deployment Documentation

v3.32.0.1-2 (2020-10-15)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.32.0.1-2-2.1/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.32.0.1-2-2.2/index.html

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.32.0.1-2-2.3/index.html

for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.32.0.1-2-2.4/index.html

for Spark 3.0: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-3.0/3.32.0.1-2-3.0/index.html

Improvement
- SW-2463 - Move Ping Messages to Debug Logging Level
- SW-2459 - Upgrade to H2O 3.32.0.1
- SW-2442 - Remove “max_hit_ratio_k” from the List of Deprecated Parameters
- SW-2436 - Deprecate ‘trainingParameters’ Method on H2OMOJOModel
- SW-2434 - Deprecate ‘weightCol’ Parameter on H2OKmeans
- SW-2433 - Deprecate ‘distribution’ Parameter on H2OGLM
- SW-2432 - Limit Generated Parameters Only to parameters in xxxParameteV3.fields
- SW-2430 - Upgrade to a Docker Image with Spark 2.4.7 and 3.0.1
- SW-2423 - Remove Irrelevant Parameters from Kmeans API
- SW-2417 - Clean up w2v tokenizer and expose minTokenLength and pattern to provide same features as H2O tokenize method
- SW-2401 - Automatically generate LaTex configuration from Scala code
- SW-2397 - Automatically generate R configuration from Scala code
- SW-2395 - Automatically generate the configuration table in documentation
- SW-2374 - Update booklet to the state so it is valid on our master branch
- SW-2345 - Delete H2OFrames Produced by Algorithm Parameters
Bug
- SW-2462 - org.apache.spark.h2o.H2OConf Shouldn’t Override Settings from Command Line
- SW-2453 - Newly Introduced Parameter ‘preprocessing’ Broke SW API Generation
- SW-2450 - Add missing ‘ in the migration guide
- SW-2449 - asH2OFrame Method Could Fail on a String Column Having More Than 10 Million Distinct Values
- SW-2448 - The Method getAlgo() on H2OGridSearch Supports only a Subset of Algorithms
- SW-2445 - Add logic of FrameUtils.guessParserSetup to Sparkling Water
- SW-2439 - Missing Import of H2OBinaryModel in Python Classification and Regression Classes
- SW-2435 - Use family Parameter on H2OGLM, H2OGAM for Determining a Need to Convert the Label Column to Categoricals
- SW-2427 - Fix parameter generation in doc
- SW-2416 - Kubernetes tests should clean up the environment in case of an error
- SW-2412 - NullableDataFrameParam Should Be Persistable
- SW-2399 - Missing mappings for ‘negativebinomial’ and ‘fractionalbinomial’ in ProblemType.distributionToProblemType
- SW-2361 - Throw explicit exception in case hyper parameter does not exist
New Feature
- SW-2458 - Expose Feature Types on H2OPipelineMOJOModel and H2OMOJOModel
- SW-2440 - Generate Algorithm-specific Python MOJO Classes
- SW-2415 - Generate Algorithm-specific MOJO Scala Classes
- SW-2411 - Add Isolation Forest to GridSearch
- SW-2408 - Add H2O Isolation Forest to Algo API
- SW-2407 - Add renameCol method to asH2OFrame Scala API
- SW-2386 - Add H2O GAM to Algo API
- SW-2365 - Expose Reconstructed Columns on DimReduction Predictions
- SW-2364 - Expose Reconstruction Mean Squared Error on AutoEncoder Prediction
- SW-2363 - Expose Stage Results/Probabilities on MOJO Detailed Prediction
- SW-2353 - Expose H2OBinaryModel in Sparkling Water ( without methods so far)
- SW-2339 - Expose beta_constraints on GLM
- SW-2338 - Expose calibration_frame on GBM, DRF, XGBoost
- SW-2335 - Expose ‘random_columns’ on GLM
- SW-2332 - Expose interaction_pairs on GLM
Docs
- SW-2452 - Add Comments to the Documentation Indicating Whether a Parameter is Exposed on MOJO or Not
- SW-2444 - Update Documentation with Usage of Algorithm-specific MOJO Classes
Engineering Story
- SW-2342 - Fix intermittent error during stopping kubernetes tests

v3.30.1.3-1 (2020-10-05)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.30.1.3-1-2.1/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.30.1.3-1-2.2/index.html

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.30.1.3-1-2.3/index.html

for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.30.1.3-1-2.4/index.html

for Spark 3.0: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-3.0/3.30.1.3-1-3.0/index.html

Improvement
- SW-2456 - Upgrade to H2O 3.30.1.3
Bug
- SW-2455 - Parallel MOJO Scoring Throws IllegalThreadStateException

v3.30.1.2-1 (2020-09-08)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.30.1.2-1-2.1/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.30.1.2-1-2.2/index.html

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.30.1.2-1-2.3/index.html

for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.30.1.2-1-2.4/index.html

for Spark 3.0: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-3.0/3.30.1.2-1-3.0/index.html

Bug
- SW-2428 - H2OMOJOModel.load Method Throws Exception
- SW-2420 - Fix Propagation of Monotonous Constraints
Improvement
- SW-2422 - Upgrade to H2O 3.30.1.2
- SW-2413 - Upgrade MOJO runtime to 2.4.8
Docs
- SW-2421 - Improve Documentation for XGBoost Memory Requirements
- SW-2414 - Make Documentation More Descriptive about Extraction of pipeline.mojo from mojo.zip

v3.30.1.1-1 (2020-08-12)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.30.1.1-1-2.1/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.30.1.1-1-2.2/index.html

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.30.1.1-1-2.3/index.html

for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.30.1.1-1-2.4/index.html

for Spark 3.0: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-3.0/3.30.1.1-1-3.0/index.html

Improvement
- SW-2406 - Enable ‘detailed_prediction’ Column for MOJO Predictions by Default
- SW-2380 - Upgrade H2O 3.30.1.1
Bug
- SW-2394 - Put sparkVersion into resulting gradle.properties
- SW-2393 - Doc: Multinode Xgboost is no longer experimental in AutoML
- SW-2392 - Fix typos in documentation
- SW-2384 - Doc: spark.ext.h2o.cloud.representative needs to point to leader node
- SW-2381 - Deprecate removed XGBoost options
Epic
- SW-2373 - Update booklet to the state so it is valid on our release branch

v3.30.0.7-1 (2020-07-24)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.30.0.7-1-2.1/index.html
for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.30.0.7-1-2.2/index.html
for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.30.0.7-1-2.3/index.html
for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.30.0.7-1-2.4/index.html
for Spark 3.0: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-3.0/3.30.0.7-1-3.0/index.html

Bug
- SW-2356 - Fix timeout on long running Rest API commands through Proxy
- SW-2357 - Some tests in ml package are not being run
- SW-2360 - R tests do not fail in gradle when there is failed test
- SW-2371 - Missing getWithLeafNodeAssignments() Methods on MOJOModelBase In Python & R
- SW-2377 - Double Usage of Parenthesis in H2OMOJOBase.py
- SW-2379 - Store the scalaBaseVersion into resulting gradle.properties file
New Feature
- SW-2358 - Update H2O to 3.30.0.7
Improvement
- SW-2166 - DBC Smoke tests
- SW-2349 - Enable leaf node assignment for H2OMOJOModel
- SW-2362 - Documentation should mention how to run examples with Spark/Sparkling Shell
- SW-2369 - Copy Sparkling Water booklet from H2O-3 repo to Sparkling Water
- SW-2372 - Expose option used for waiting before the clouding starts in internal backend
Engineering Story
- SW-2355 - Fix build after hive changes on the H2O side
Docs
- SW-2354 - Flip Sparkling Water site when released

v3.30.0.6-1 (2020-07-03)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.30.0.6-1-2.1/index.html
for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.30.0.6-1-2.2/index.html
for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.30.0.6-1-2.3/index.html
for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.30.0.6-1-2.4/index.html
for Spark 3.0: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-3.0/3.30.0.6-1-3.0/index.html

Bug
- SW-352 - Flow UI Scala Repl: use paste mode to interpret commands passed through Flow UI
- SW-1510 - Fix misleading error message from incompatible Java version
- SW-2316 - Intermittent failure of ai.h2o.sparkling.backend.exceptions.RestApiCommunicationException at ScalaInterpreterServletTestSuite.scala:28
- SW-2343 - Fix MOJO Model Predictions on Dataframes with ArrayType or Vector
- SW-2344 - Fix mojo test -> H2O added a new parameter and therefore number of parameters does not match now
- SW-2348 - Fix Terraform issue with matching multiple VPCs
New Feature
- SW-2303 - Create Sparkling Py4j Getaway
Improvement
- SW-2346 - Upgrade H2O to 3.30.0.6
Engineering Story
- SW-2341 - Fix intermittent HamOrSpam failure on AutoML

v3.30.0.5-1 (2020-06-22)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.30.0.5-1-2.1/index.html
for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.30.0.5-1-2.2/index.html
for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.30.0.5-1-2.3/index.html
for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.30.0.5-1-2.4/index.html
for Spark 3.0: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-3.0/3.30.0.5-1-3.0/index.html

Bug
- SW-2302 - Fix org.apache.hadoop.fs.FsUrlConnection cannot be cast to java.net.HttpURLConnection
- SW-2307 - H2O Flow Proxy is not stopped as part of hc.stop() call
- SW-2310 - Ensure that endpoints on Spark driver respect authentication options
- SW-2312 - JsonSyntaxException when using setNfolds() on algorithm
- SW-2314 - Flow proxy is broken when https is used
- SW-2328 - Ensure we do not skipped available ports
- SW-2329 - Improve check for version ( do not call external stop in case of internal backend)
- SW-2330 - Unit tests fail on Spark 3.0 -> randomSplit gives different result on Spark 3.0 and Spark 2.4 and lower
- SW-2331 - HashingTF uses different hashing function since Spark 3. Use the old one in tests
Improvement
- SW-2284 - Ensure that all requests to backend cluster goes via leader node
- SW-2297 - Exclude Content of site/.doctrees from SW Distribution Archive
- SW-2298 - Update mojo pipeline doc
- SW-2299 - Move ml related tutorials to ML sub-page in our doc
- SW-2300 - Document output of DAI mojo better
- SW-2305 - Ensure that call /3/Shutdown handles H2OContext stop in case of Sparkling Water ( via Flow Proxy)
- SW-2315 - Failed H2O Job should Report Exception and StackTrace
- SW-2317 - Use leader node from the beginning of Rest API communication
- SW-2319 - Replace "External H2O Node" with just "H2O Node" as the code is now used in both backends
- SW-2323 - Uprade shadowjar plugin to 6.0.0 ( fixes deprecation warnings)
- SW-2326 - Add support for spark 3.0
- SW-2327 - Upgrade H2O to 3.30.0.5
Engineering Story
- SW-2216 - ScalaInt, DataFrames, H2oFrames and RDDS endpoints must be handled on Spark driver side as we require both Spark and h2o features
- SW-2290 - Enable to Run Benchmarks from Local PC by Passing VPC and Subnet
- SW-2308 - Upgrade to Spark 2.4.6
- SW-2309 - Upgrade Gradle to 6.5
- SW-2333 - Update spotless to 4.4.0
- SW-2334 - Update release plugin to 2.8.1

v3.30.0.4-1 (2020-06-04)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.30.0.4-1-2.1/index.html
for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.30.0.4-1-2.2/index.html
for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.30.0.4-1-2.3/index.html
for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.30.0.4-1-2.4/index.html

Bug
- SW-2271 - Missing LogUtil class on external h2o backend
- SW-2276 - The .getAlgo() Method of Pysparkling H2OGridSearch Throws Exception
- SW-2277 - Update GridSearch Documentation
- SW-2289 - java.lang.IllegalArgumentException: requirement failed: The auto-closable resource can't be null!
Improvement
- SW-1668 - Structure Contributions in the 'detailed_prediction' Column as MapType
- SW-2264 - Warn user of upcomming change in grid search in 3.32
- SW-2267 - Document hive support in non-kerberized environments
- SW-2268 - Rename(Deprecate) setHiveSupportEnabled to setKerberizedHadoopEnabled or similar equivalent
- SW-2270 - Deprecate GridSearch Parameters which Are Exposed also on Algorithms
- SW-2281 - Treat sphinx warnings as errors as they usually mean doc is broken
- SW-2282 - Upgrade H2O to 3.30.0.4
- SW-2283 - Switch right join implementation to use H2O

v3.30.0.3-1 (2020-05-14)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.30.0.3-1-2.1/index.html
for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.30.0.3-1-2.2/index.html
for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.30.0.3-1-2.3/index.html
for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.30.0.3-1-2.4/index.html

Bug
- SW-502 - SW Runtime is complaining about missing SPARK_HOME during version check
- SW-1569 - Sparkling water fails to detect newer version of colorama
- SW-1980 - java.lang.Long cannot be cast to org.apache.spark.sql.Row from PySparkling
- SW-1991 - asH2OFrame does not work on dataset with primitive values
- SW-2201 - Nightly builds fail on SW version check
- SW-2224 - Fix doc warninigs on hive site
- SW-2226 - Fix documentation for download logs from DBC cluster
- SW-2228 - Update Plan Contains HostNames instead of IP Addresses
Improvement
- SW-1992 - Deprecate JavaH2OContext
- SW-2194 - Document withDetailedPrediction on mojo deployment page
- SW-2200 - Ensure H2OContext can be created in PySparkling without numpy installed
- SW-2210 - deprecate spark.read.h2o and spark.write.h2o to be consistent with python api
- SW-2225 - Upgrade to H2O 3.30.0.3
Engineering Story
- SW-2222 - Remove Usages of Deprecated MojoPipelineReaderBackendFactory

v3.30.0.2-1 (2020-05-04)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.30.0.2-1-2.1/index.html
for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.30.0.2-1-2.2/index.html
for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.30.0.2-1-2.3/index.html
for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.30.0.2-1-2.4/index.html

Bug
- SW-1980 - java.lang.Long cannot be cast to org.apache.spark.sql.Row from PySparkling
- SW-2164 - Fix class not found org.spark_project.jetty.util.thread.ThreadPool error
- SW-2165 - Fix link to jira in README
- SW-2168 - The AWS java sdk s3 in SW throws the exception: java.lang.IllegalStateException: Socket not created by this factory. Have tried with spark 2.4 version and sparkling water versions -3.28.1.2-1-2.4 and -3.30.0.1-1-2.4.
- SW-2169 - Add numpy to Python Kubernetes Image
- SW-2172 - Shadow scala-compat
- SW-2174 - Don't do version check in case user is using databricks-connect
- SW-2175 - getFeaturesCols in python returns scala obj
- SW-2177 - Context Path is Erased From Rest Calls
- SW-2181 - Context Path Must be Also Considered on H2O Worker Nodes
New Feature
- SW-2176 - Expose spark.ext.h2o.allow_insecure_xgboost parameter
Improvement
- SW-2044 - Introduce method asSparkFrame on H2OContext.scala and deprecate asDataFrame
- SW-2170 - Update description of spark.ext.h2o.external.cluster.size in SW Documentation
- SW-2179 - Deprecate setH2OClientLogLevel and setH2ONodeLogLevel methods
- SW-2191 - Distribute Mojos via SparkFiles to Avoid Maximum Array Size Limit
- SW-2192 - Upgrade to H2O 3.30.0.2
- SW-2194 - Document withDetailedPrediction on mojo deployment page
Engineering Story
- SW-2148 - Replace Expected Types with Enumeration
- SW-2160 - Switch test infra to aws
- SW-2182 - Document How to Import Hive Data in Kerberized Environment

v3.30.0.1-1 (2020-04-06)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.30.0.1-1-2.1/index.html
for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.30.0.1-1-2.2/index.html
for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.30.0.1-1-2.3/index.html
for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.30.0.1-1-2.4/index.html

Bug
- SW-2022 - Start H2OContext on python side if the user didn't explicitly ask for it
- SW-2066 - java.lang.UnsupportedOperationException: JsonObject on testGetLeaderboardWithVariableArgumens(hc, dataset)
- SW-2071 - InternalH2OBackend Shouldn't Call setH2OCluster
- SW-2112 - Update getOrCreate method after enabling rest api in py/r as well
- SW-2127 - Fix compile of micro benchmarks
New Feature
- SW-1715 - Switch PySparkling in external backend to client-less approach by default
- SW-2125 - Introduce Update Plan Reflecting the Final Layout of H2O Chunks
Improvement
- SW-1391 - Switch to scala formatter
- SW-1779 - Change Spark DataFrame to H2OFrame Conversion to Implicitly Convert String Columns to Categoricals
- SW-1818 - Switch PySparkling & RSparkling in internal backend to client-less approach by default
- SW-1819 - Remove deprecated r2stopping parameter on GBM and DRF
- SW-1824 - Switch RSparkling in external backend to client-less approach by default
- SW-1850 - Remove deprecated methods in RSparkling, from release 3.30 only instance methods should be used
- SW-1858 - In case of rest api, train via rest API, not on the driver
- SW-1872 - Remove deprecated nEstimators field and related methods on H2OXGBoost
- SW-1888 - Remove deprecated methods in ExternalBackendConf.py
- SW-1890 - Remove deprecated methods in InternalBackendConf.py
- SW-1892 - Remove deprecated methods in SharedBackendConf.py
- SW-1894 - Remove deprecated method setSparkVersionCheckEnable in SharedBackendConf.scala
- SW-1989 - Remove kwargs argument from H2oContext.getOrCreate in python and deprecated verify_ssl_certificates arg handling
- SW-1994 - Remove deprecated leaderboard method
- SW-2002 - Remove deprecatd as_h2o_frame and as_spark_frame on H2OContext.py
- SW-2012 - Remove deprecated download_h2o_logs method on H2OContext.py
- SW-2014 - Remove deprecated get_conf method on H2OContext.py
- SW-2015 - Simplify asH2OFrame in PySparkling
- SW-2028 - Cleanup: Remove extra repl classes for different spark versions
- SW-2032 - Remove exactLambdas param from H2OGLM
- SW-2037 - Remove deprecated setClusterConfigFile from H2OConf
- SW-2038 - Remove deprecated setClientPortBase from H2OConf
- SW-2042 - Remove deprecated get_grid_models, get_grid_models_params and get_grid_models_metrics params from H2OGridSearch
- SW-2046 - Remove deprecated initial_score_interval on H2OXGBoost
- SW-2048 - Remove deprecated h2oNodeWebEnabled and associated setters
- SW-2052 - Remove deprecated _score_interval on H2OXGBoost
- SW-2055 - Remove deprecated learn_rate_annealing on H2OXGBoost
- SW-2056 - Remove deprecated option to disable web on client node
- SW-2061 - Improve and test getCurrentMetrics on H2OModel
- SW-2068 - Remove REST API & client h2ocontext, make rest api the default one
- SW-2069 - Set H2O Cluster Time Zone only via REST
- SW-2079 - Move api classes to ai.h2o.sparkling package
- SW-2086 - Move classes from org.apache.spark.h2o.utils to ai.h2o.sparkling
- SW-2087 - Deprecate MetricsSupport and make it possible to obtain training metrics on H2OMojoModel
- SW-2089 - Expose only H2OFrame, hide remaining internal API
- SW-2092 - Switch H2OFrameSupport methods to use rest api
- SW-2093 - Remove unused classes & move a few remaining classes to a ai.h2o.sparkling
- SW-2094 - Remove NetworkBridge as the method isInetAddressOnNetwork is now public in H2O
- SW-2095 - Remove and replace remaining reference in examples tests
- SW-2096 - Reformat code up-to current standard everywhere except core to avoid formatting issues when cherry-picking
- SW-2097 - Fix formatting in core ( the whole scala/java codebase now has consistent formatting)
- SW-2105 - Remove standalone tests from codebase as we do not test against standalone cluster
- SW-2106 - Remove and replace remaining reference in to H2O algos in SW doc
- SW-2123 - Ignore warning report in pytest about converting bit number to string as it is on purpose
- SW-2124 - Upgrade gradle python plugin to avoid gradle 6 deprecation warnings
- SW-2135 - Deprecate JoinSupport in water.support package and make it part of ai.h2o.sparkling.H2OFrame
- SW-2146 - Cleanup in tests -> move to right ai.h2o.sparkling packages
- SW-2147 - Add spotless check for ending new lines for most of the other files (the other files do not have better formattes now)
- SW-2149 - Remove missleading comment in R's namespace file.
- SW-2150 - Remove subproject apps-streaming
- SW-2155 - Upgrade H2O to 3.30.0.1
Engineering Story
- SW-2108 - Add unzipped all headers csv to repo
- SW-2109 - Ensure AirlinesDemo runs without the client
- SW-2110 - Remove the zeppelin notebook from examples dir
- SW-2111 - Move interpreter tests to ScalaCode handler where they belong
- SW-2113 - Make HamOrSpam example use SW API
- SW-2114 - Make Prostate example use SW API
- SW-2115 - Make DeepLearning example use SW API
- SW-2116 - Make ChicagoCrimeApp use SW Api
- SW-2118 - Deprecate and Disable allStringColumnsToCategorical Option
- SW-2126 - Fix deprecation warning about duplicate paths in because of overwriting scala-editor.css file in Sparkling Water
- SW-2130 - Remove extra hdpVersion from the codebase
- SW-2131 - Proposal: Speed up of integration tests by sharing the context
- SW-2132 - Upgrade docker image version to 26
- SW-2138 - Apply spotless formatting to gradle files
- SW-2139 - Deprecate ModelSerializationSupport
- SW-2141 - Remove test classes from package.scala in org.apache.spark.h2o._
- SW-2156 - Upgrade gradle + sphinx plugin to latest versions
- SW-2157 - Update python plugin to version 2.2.0 ( avoid gradle deprecation warnings)

v3.28.1.3-1 (2020-04-06)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.28.1.3-1-2.1/index.html
for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.28.1.3-1-2.2/index.html
for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.28.1.3-1-2.3/index.html
for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.28.1.3-1-2.4/index.html

Bug
- SW-2143 - bin/build-kubernetes-images.sh should get spark version from $SPARK_HOME directory
- SW-2144 - Get rid of numpy and pyspark dependency
- SW-2145 - Fix initialization of Sparkling Water JAR in case we call import pysparkling and sc is not yet running
New Feature
- SW-2120 - Enable H2O to Connect to Hive
Improvement
- SW-2082 - Deprecate hex.ModelUtils.classify in favour of SW Algo API
- SW-2084 - Deprecate DeepLearningSupport and GBMSupport in favor of SW Algo API
- SW-2119 - Make SW Compatible with Older Versions of Steam
- SW-2152 - Upgrade to H2O 3.28.1.3
Engineering Story
- SW-2080 - Update Comments in ChunkServlet
Docs
- SW-2122 - In Using the MOJO Scoring Pipeline section, clarify that MOJO Scoring Pipelines are from Driverless AI license

v3.28.1.2-1 (2020-03-19)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.28.1.2-1-2.1/index.html
for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.28.1.2-1-2.2/index.html
for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.28.1.2-1-2.3/index.html
for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.28.1.2-1-2.4/index.html

Bug
- SW-2050 - Fix Timezone Handling via Conversions to UTC
- SW-2063 - Fix release path on s3
- SW-2064 - asDataFrame() Conversion Function Throws Exception on Wide Datasets
- SW-2065 - Fix Deployment of Artifacts to Maven Central
- SW-2070 - Time shift occurring between spark and h2o frame
- SW-2072 - ExternalBackend Converts DateType to Numeric
- SW-2076 - H2O Transformers do not sanitize feature columns
New Feature
- SW-2067 - Propagate Timezone Settings from Spark to H2O
- SW-2078 - Upgrade to H2O 3.28.1.2
Improvement
- SW-2073 - Deprecate Implicit Switch to External Backend when H2OConf.setH2OCluster is Called
- SW-2075 - Deprecate ignorePublicDNS option as in 3.30 it is no longer required
Engineering Story
- SW-2058 - Add More Test Cases into Data Conversion Benchmarks

v3.28.1.1-1 (2020-03-06)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.28.1.1-1-2.1/index.html
for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.28.1.1-1-2.2/index.html
for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.28.1.1-1-2.3/index.html
for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.28.1.1-1-2.4/index.html

Epic
- SW-1728 - Replace External H2O writer & reader by rest api
Bug
- SW-1151 - Loophole in H2O authentication with Sparkling water
- SW-1897 - In prediction which do classification, be more explicit about relations about class and probabilities
- SW-1914 - Copy extension jar to jars folder in distribution archive
- SW-1918 - Ensure credentials are pass to connection before we actually connect
- SW-1930 - Improve ChicagoCrime test so it does not block in external backend
- SW-1940 - Ensure citibike demo does not use TimeSplit so it does not block external backend
- SW-1941 - Fix intermittent failures of "splitFrameToTrainAndValidationFrames with ratio lower than 1.0"
- SW-1942 - Ignore failing "splitFrameToTrainAndValidationFrames with ratio lower than 1.0"
- SW-2000 - Fix distribution artifact name
- SW-2004 - Two notebooks in Databricks can't both connect to same H2O cluster
- SW-2005 - Fix getter for autoFlowSsl in H2OConf.R
- SW-2008 - Fix compile after removing code for external backend from H2O
- SW-2010 - Fix wrong statement in migration guide -> internal_security_conf is not enabled by default
- SW-2020 - Fix typo in migration guide
- SW-2021 - Benchmarks fail on OperationAborted: A conflicting conditional operation is currently in progress against this resource
- SW-2023 - Avoid repeated log messages
- SW-2034 - Fix nightly build upload path
New Feature
- SW-1840 - Read Chunks via REST API
- SW-1846 - Be able to compile Sparkling Water with Scala 2.12
- SW-1854 - Expose Individual Chunks via REST API
- SW-1878 - Replace H2O_EXTENDED_JAR with H2O_DRIVER_JAR in all cases
- SW-1883 - Write Individual Chunks via REST API
- SW-1903 - Be able to params in rest api methods
- SW-1904 - Remove extended jar from the codebase
- SW-1958 - Property for Passing Extra Jars to External Backend
- SW-2026 - Expose H2OConf Getters and Setters in R
Improvement
- SW-1589 - Remove Sparkling Water SVM in favor of H2O one
- SW-1844 - Replace Apache Http Client with a Client Supporting Request Streaming
- SW-1845 - Separate Http Communication Logic and REST API Methods
- SW-1868 - Remove deprecated option externalWriteConfirmationTimeout
- SW-1875 - Ensure method prepareDatasetForFitting works in Rest API based mode
- SW-1876 - Ensure we don't call DKV.put in Fit method on H2OALgorithm in case of rest api
- SW-1877 - Ensure method preprocessBeforeFitting works in RestApi Mode
- SW-1881 - Fix typo in RestCommunication
- SW-1912 - Update remaining documentation with new way how to start external backend
- SW-1915 - Put sparkling water assembly jar into jars folder in the distribution archive instead into assembly/build/libs
- SW-1919 - Make benchmarks up-to-date with removal of extended h2o jar
- SW-1924 - Move stacktrace collector extension to extensions submodule
- SW-1931 - Remove extra plugin import in :sparkling-water-extensions
- SW-1932 - Use enum for H2OColumn (Rest API)
- SW-1937 - Move RestAPIUtils to ai.h2o.sparkling package
- SW-1943 - Remove unnecessary ExternalH2OBackend.verifyH2OClientCloudUp(conf, nodes) check
- SW-1944 - Remove isRestApiBased defined on ExternalH2OBackend as it is already defined on RestApiUtils
- SW-1945 - Remove unused H2OSQLContextUtils
- SW-1946 - Move H2OFrame to Sparkling Water
- SW-1947 - Move RestCommunication to ai.h2o.sparkling package
- SW-1948 - No need to check cluster size in manual cluster mode anymore
- SW-1952 - Remove deprecated block size configuration
- SW-1954 - Move classess in repl to a new package ai.h2o.sparkling
- SW-1955 - Move examples to ai.h2o.sparkling package
- SW-1956 - Refactor converters
- SW-1962 - Remove materialization via .toList.toIterator in H2ORDD and H2ODaframe on external H2O backend
- SW-1967 - Remove H2OFrameUtils bridge as not required anymore
- SW-1970 - Deprecate sparkSession and sparkContext argument of H2OContext.getOrCreate()
- SW-1977 - Create parameterless methods getOrCreate as we don't need to pass spark anymore
- SW-1979 - Remove deprecated enableSSL methods and hide the method
- SW-1981 - Remove H2OSecurityBridge
- SW-1983 - Publish extensions to maven central
- SW-1987 - Remove verbose H2O arg from H2OContext.getOrCreate in python
- SW-1995 - Enable compression method for rest api conversions
- SW-2003 - Remove rest api client from experimental page in our documentation
- SW-2006 - Update experimental doc
- SW-2007 - Call print(hc) during first creation of H2OContext.r as in H2OContex.py
- SW-2009 - No need to search for client ip in rest api mode
- SW-2011 - Deprecate download_h2o_logs on H2OContext.py
- SW-2013 - Deprecate get_conf on H2OContext.py
- SW-2016 - Expose getDomainValues on H2OMojoModel
- SW-2018 - Don't use allow_client flag in rest api mode
- SW-2024 - Mention in migration guide that explicit creation of H2OContext is required to run algo
- SW-2025 - Extend REST Errors with Details from Server
- SW-2027 - Cleanup, Use H2OContext.ensure in right places
- SW-2033 - Deprecate exactLambdas parameter in H2OGLM
- SW-2035 - Rename the 'setClientPortBase' on H2OConf to 'setClientBasePort'
- SW-2036 - Rename 'setClusterConfigFile' on H2OConf to 'setClusterInfoFile'
- SW-2040 - Fix doc warning: Could not find any member to link for "org.apache.spark.internal.Logging"
- SW-2041 - Fix warning: Could not find any member to link for "IllegalArgumentException"
- SW-2043 - Deprecate get_grid_models, get_grid_models_params and get_grid_models_metrics params from H2OGridSearch
- SW-2045 - Deprecate initial_score_interval on H2OXGBoost as it's only H2O's internal argument
- SW-2047 - Deprecate options for disabling or enabling REST api on H2O worker nodes. It needs to be on because of REST client
- SW-2049 - Upgrade to Gradle 6.2.2
- SW-2051 - Deprecate _score_interval argument as it's only H2O's internal argument
- SW-2053 - Ensure that web on client is always enabled
- SW-2054 - Deprecate learn_rate_annealing as it is not yet supported on H2OXGBoost
- SW-2057 - Update SW version on rel branch to 3.28.1.1
- SW-2059 - Upgrade to H2O 3.28.1.1
Engineering Story
- SW-1853 - Create H2O Extensions Assembly Jar
- SW-1908 - Ignore SVM Tests
- SW-1960 - Final move - move external backend classes to a new package
- SW-1976 - Tests Covering Spark/H2O Frame Conversions
- SW-1984 - Hide internal identifyClientIp method
- SW-1996 - Benchmarks are failing on exception "VpcLimitExceeded"
- SW-1998 - Add Setter Methods of H2OConf to Documentation of Configuration Properties
- SW-2039 - Upgrade to Gradle 6.2.1

v3.28.0.4-1 (2020-02-25)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.28.0.4-1-2.1/index.html
for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.28.0.4-1-2.2/index.html
for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.28.0.4-1-2.3/index.html
for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.28.0.4-1-2.4/index.html

Bug
- SW-1896 - Fix kubernetes documentation
- SW-1901 - Sequential grid search should be default
- SW-1902 - Remove SPARK_LOG_DIR, SPARK_WORKER_DIR and SPARK_LOCAL_DIRS and use default Spark values
- SW-1923 - Stacktrace extension needs to be daemon thread
- SW-1927 - Fix path to docker-image-tool.sh in build-kubernetes-images.sh
- SW-1928 - Improve kubernetes documentation
- SW-1929 - Fix python kubernetes image
- SW-1933 - Missing super.preProcessBeforeFit call in child class
- SW-1938 - Fix nightly publishing after switching to mavenLocal build in our pipelines
- SW-1939 - Test conversion in case that H2O is running only on subset of executors
- SW-1951 - Syntax warning due to comparison of literals using is
- SW-1961 - Get transform and transformSchema method of mojo models aligned
- SW-1963 - Fix execution of tests using local-cluster
- SW-1966 - Fix intermittent error coming from SparklyR in our tests
- SW-1969 - Respect SparkSession of a current environment
- SW-1985 - Reference mojo as prostate_mojo.zip instead of prostate.mojo in doc
- SW-1990 - Use contextPath instead of context_path
New Feature
- SW-1859 - Expose H2O's Configuration Parameter '-hdfs_config' in Sparkling Water
- SW-1899 - Fix intermittent bug in rest api client tests
- SW-1935 - AutoML API: expose the new get_leaderboard function available in other clients (Py+R)
Task
- SW-1752 - Add test for preemption during as_h2o_frame on high concurrency Databricks cluster like scenario
Improvement
- SW-1862 - Update Mojo to latest version in Sparkling Water
- SW-1916 - Make RSparkling examples up-to-date
- SW-1917 - Mention in migration doc that assembly jar location in the distribution archive has changed
- SW-1920 - Mention in migration doc that H2OSVM is removed from 3.28.1.1
- SW-1921 - Move pipeline prediction test to package ai.h2o.sparkling.ml
- SW-1922 - Expose quantile alpha on H2OGBM and H2ODeepLearning
- SW-1925 - Warn user that the detailed prediction col format will change starting from the next major release for Binomial, Ordinal & Multinomial prediction
- SW-1953 - Deprecate block size configuration
- SW-1968 - Upgrade to Gradle 6.2
- SW-1972 - Re-enable tests using local-cluster
- SW-1973 - Upgrade to new docker image 25
- SW-1978 - Deprecate setEnableSSL
- SW-1986 - Upgrade to H2O 3.28.0.4
- SW-1988 - Deprecate passing arguments via kwargs method in getOrCreate in PySparkling
Engineering Story
- SW-1910 - Upgrade to Spark 2.4.5
- SW-1911 - Upgrade to a Docker Image with Spark 2.4.5
- SW-1959 - Remove Compiler Warning in HasQuantileAlpha.scala
- SW-1965 - Test PRs only on Spark 2.1 and Spark 2.4
- SW-1974 - Be able to prefetech all Sparkling Water dependencies without building SW
- SW-1975 - Move spark.ext.h2o.hdfs_conf Property among Properties of Internal Backend

v3.28.0.3-1 (2020-02-06)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.28.0.3-1-2.1/index.html
for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.28.0.3-1-2.2/index.html
for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.28.0.3-1-2.3/index.html
for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.28.0.3-1-2.4/index.html

Bug
- SW-1559 - Cloud up of SW fails on EMR
- SW-1650 - SparklingWater forms only H2O cluster on Azure only with one node
- SW-1830 - Support h2o3 mojo prediction in rsparkling
- SW-1849 - Add missing 'rel-' prefix when suggesting correct H2O package to install in R
- SW-1865 - Fix Typo in Backends Documentation
- SW-1867 - Add Sparkling Water UI tab only in case the UI is enabled
- SW-1871 - Use local maven in our test infra instead of –includeBuild
- SW-1879 - Fix R tests
- SW-1882 - Fix setNthreads method on H2OConf
- SW-1887 - is_internal_secure_connections_enabled method needs to be in SharedBackendConf.py
- SW-1895 - Fix jenkins pipeline so it can also run PRE_RELEASE_TESTS
Improvement
- SW-1686 - Expose offset_column in XGBoost
- SW-1790 - RSparkling in cran should be dummy code to point to our rsparkling in custom repo
- SW-1828 - Ensure H2OContext in RSparkling is a class so we don't have to pass sc to methods asH2OFrame and asDataFrame
- SW-1848 - Cleanup package.R in RSparkling
- SW-1851 - [Proposal]Rename conversion methods to be consistent with other changes
- SW-1860 - Fix ArrayIndexOutOfBoundsException on internal backend
- SW-1861 - Remove extra import
- SW-1863 - Mention in documentation that High Currency clusters are not yet supported
- SW-1866 - Add option to specify full path to hadoop command
- SW-1873 - Use ntrees instead of deprecated nEstimators on H2OXGBoost API
- SW-1874 - Keep migration guide up-to-date
- SW-1884 - Deprecate externalWriteConfirmationTimeout option
- SW-1885 - Upgrade to H2O 3.28.0.3
- SW-1889 - Make sure getters and setters on python ExternalBackendConf are consistent with scala counterpart
- SW-1891 - Make sure getters and setters on python InternalBackendConf are consistent with scala counterpart
- SW-1893 - Make sure getters and setters on python SharedBackendConf are consistent with scala counterpart
Engineering Story
- SW-1852 - Add Tests Covering Scenarios with XGBoost and Offset Column

v3.28.0.2-1 (2020-01-23)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.28.0.2-1-2.1/index.html
for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.28.0.2-1-2.2/index.html
for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.28.0.2-1-2.3/index.html
for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.28.0.2-1-2.4/index.html

Bug
- SW-1841 - Fix Examples in LDAP and Kerberos Tutorials
- SW-1843 - The Second Call of H2OContext.getOrCreate Throws an Exception
New Feature
- SW-1802 - Introduce stoppingRounds, stoppingMetric and stoppingTolerance Parameters on GBM, DRF, XGBoost and DeepLearning
- SW-1835 - Enable to Specify Number of Partitions of Virtual Datasets Used in Benchmarks
Improvement
- SW-1801 - Deprecate the r2stopping Parameter on GBM and DRF
- SW-1826 - Deprecate using username and password in RSparkling in favor of the spark options used for this
- SW-1829 - Remove sctrict version check argument in RSparkling
- SW-1831 - Test Spark to H2O Conversions on Big Data
- SW-1836 - Make Execution of Individual Backends Configurable in Benchmarks
- SW-1842 - Upgrade to H2O 3.28.0.2
Engineering Story
- SW-1838 - Move Model and Algorithm Tests to 'ai.h2o.sparkling.ml' Namespace
- SW-1839 - Iterate over Transformed DataFrame in H2OFrameToDataFrameConversionBenchmark
Docs
- SW-1832 - Update copyright year in conf.py file to include 2020

v3.28.0.1-1 (2019-12-19)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.28.0.1-1-2.1/index.html
for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.28.0.1-1-2.2/index.html
for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.28.0.1-1-2.3/index.html
for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.28.0.1-1-2.4/index.html

Bug
- SW-1492 - [Spark-2.1] Switch minimal java version for Java 1.8
- SW-1743 - Run rest api client tests only in external backend mode
- SW-1747 - The option "-sw_ext_backend" must be enabled when REST-based client is used
- SW-1748 - Try to fix NPE on Spark 2.1, 2.2 and 2.3 related to metadata
- SW-1749 - Percentiles Are Not Propagated to Metadata
- SW-1750 - Fix uploading nightlies when we build them against H2O branches
- SW-1754 - H2OContext.getOrCreate Should Create Only One Cluster in Automatic Mode
- SW-1762 - Fix unit_test_utils.assert_h2o_frames_are_identical for Python 2
- SW-1771 - Fix documentation warnings
- SW-1774 - Fix bug introduced in 3.26.11 - using flatfile for client connection in external backend
- SW-1777 - Proper stopping of PySparkling in case of REST API
- SW-1782 - Improve exception when the user is not authentification in rest api client
- SW-1789 - Fix build with latest AutoML changes
- SW-1791 - Make ProxyStarter more robust
- SW-1792 - Remove extra pre_create_hook and h2o_connect_hook parameters from H2OContext on PySparkling
- SW-1793 - In rest api approach, auto mode, external backend keeps running even if we weren't able to authentificate
- SW-1795 - RSparkling doc is missing library(rsparkling) step
- SW-1798 - Check that timeout for pinging the backend is always smaller then the timeout for killing the external cluster
- SW-1799 - Fix Invalid use of BasicClientConnManager error in client-less approach
- SW-1800 - Add wait timeout to ConfigurationPropertiesTestSuite.testNotifyLocalPropertyCreatesFile
- SW-1803 - Sparkling Water does not stop automaticaly in client-less mode when hc.stop is not defined
- SW-1811 - Client needs to recognize itself as client
- SW-1814 - Register shutdown hook after H2O is running to avoid NPE in case app is stopped during start of H2OContext
- SW-1817 - Implement retry for rest api requests
Epic
- SW-1529 - [PySparkling] Client Separation from Spark Driver
Story
- SW-1647 - Convert PySpark DataFrame to H2OFrame without Client
New Feature
- SW-1496 - Expose H2O-3 DRF in Sparkling Water
- SW-1588 - Add DRF to grid search
- SW-1606 - Create gradle task to create pysparkling docker image for kubernetes
- SW-1607 - Create gradle task to create rsparkling docker image for kubernetes
- SW-1689 - Document how to use Sparkling Water with Kubernetes
- SW-1690 - Create script to generate kubernetes docker images
- SW-1696 - Remove announcement service as it is not used
- SW-1722 - Ensure external backend (rest api) is stopped in automatic mode if the spark app is killed ( avoid zombie clusters)
- SW-1724 - Create UDF for Ordinal Predictions
- SW-1740 - Add parallelism option to GridSearch
Improvement
- SW-1445 - Remove Deprecated setters on algorithms which has enum as argument
- SW-1495 - Expose Number of Trees in SW MOJO
- SW-1518 - Remove deprecated parameter colsampleBytree and related methods from H2OXGBoost
- SW-1519 - Switch to single value in the predictionCol and put all the details on the detailedPredictionCol
- SW-1545 - Use argumentbuilder to build arguments for the external h2o backend
- SW-1572 - Remove deprecated option spark.ext.h2o.external.cluster.num.h2o.nodes and related methods
- SW-1574 - Remove algos and features in deprecated org.apache.spark.h2o.ml.algos package
- SW-1575 - Remove deprecated option spark.ext.h2o.external.read.confirmation.timeout and related getters and setters
- SW-1586 - Remove deprecated getLambda & getAlpha getters and related setters
- SW-1587 - Remove deprecated getter and setter SelectBestModelDecreasing on H2OGridSearch
- SW-1628 - Create breaking changes document in doc there breaking changes so far in 3.28
- SW-1636 - Enable to specify outputCols on H2OTargetEncoder
- SW-1661 - Deprecate multicast search for cluster in external backend in manual mode
- SW-1681 - Change sw version to include also patch within one h2o version
- SW-1684 - Migration guide was missing several changes which are already resolved in 3.28
- SW-1704 - Expose Extra Http Headers for H2O Nodes
- SW-1729 - Remove deprecated option for ipBasedFlatfile
- SW-1730 - Ensure worker nodes have always open Flow in the external Backend
- SW-1758 - Reuse stopped field from scala backend
- SW-1765 - Hide internal fields in H2OContext
- SW-1766 - Move stacktrace extension to our sparkling water package ai.h2o.sparkling
- SW-1768 - Get Default Values of AutoML Parameters synchronized with H2O-3
- SW-1769 - Avoid Usage of AutoML Deprecations
- SW-1773 - Mention that worker nodes in manual modeneed to have rest api available in migration guide
- SW-1775 - Add security tests for the client-less approach
- SW-1776 - [TEST] Add test for download logs when using rest api client
- SW-1780 - Deprecate set_h2o_driver_if, h2o_driver_if and scala counterparts
- SW-1781 - Remove deprecated methods deprecated by [SW-1780]
- SW-1783 - Unify passing of authentication information
- SW-1785 - Remove deprecated set_user_name and user_name method on H2OConf in Python
- SW-1787 - Version checks can be done via rest API in all cases on External backend
- SW-1788 - Lock cloud in case of rest api client, auto mode
- SW-1794 - Add test for the zombie cluster in client-less approach
- SW-1796 - In client-less tests, verify that stopped cluster contains are shutdown correctly
- SW-1797 - Move several check threads under single backend heartbeat thread
- SW-1804 - Ensure internal communication does not go throug proxy, no reason for it
- SW-1805 - Communicate always via leader node
- SW-1806 - Upgrade to H2O 3.28.0.1
- SW-1807 - Use Spark for logging on client in case of External backend
- SW-1808 - Add test for automatic cluster stopping
- SW-1809 - Obtaining nodes can be done via rest API in all cases on External backend
- SW-1810 - Watchdog can be replaced by rest API on external backend
- SW-1815 - Remove support for multicast cloud up in case of external H2O backend in manual standalone (no Hadoop) mode
- SW-1816 - Remove out-dated check for duke library. Sparkling Water package is now fat jar so this issue does not exist
Engineering Story
- SW-1698 - Remove unnecessary Log level change
- SW-1733 - Tests for Clientless Conversion from H2OFrames to DataFrames
- SW-1734 - Configuration File for Tests against H2O Branch
- SW-1741 - Adapt internal Target encoding code to latest changes in H2O
- SW-1744 - Tests for Clientless Conversion from DataFrames to H2OFrames
- SW-1745 - Disable version check in tests on external backend
- SW-1746 - spark.ext.h2o.external.disable.version.check was false also when we needed to run rest api tests
- SW-1767 - Move remaining java classes under scala dir
- SW-1772 - Add Python GBM Test Running with REST-based H2OContext
- SW-1812 - Small refactor of ExternalH2OBackend class
- SW-1813 - Fix script and integ tests

v3.26.11 (2019-12-06)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.26.11-2.1/index.html
for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.26.11-2.2/index.html
for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.26.11-2.3/index.html
for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.26.11-2.4/index.html

Bug
- SW-1711 - Fix propagation of internal security conf in Sparkling Water
- SW-1732 - Iimplement shutdown hook to ensure H2O will go down on normal stop of Spark
- SW-1739 - Fix target encoder multiline doc descriptions
- SW-1755 - Don't need to stop worker nodes in internal backend, spark takes care of it as it shutdowns the executors
- SW-1756 - externalCommunicationBlockSizeAsBytes is missing on H2OConf in python
- SW-1757 - Fix PipelinePredictionTest and Regenerate Reference Results
- SW-1761 - Fix deadlock when user explicitly calls hc.stop()
New Feature
- SW-1764 - Upgrade H2O to 3.26.0.11
Improvement
- SW-1646 - Run H2O Nodes With Security Parameters
- SW-1687 - Expose Offset Column in Supervised Algorithms
- SW-1705 - Deprecate spark.ext.h2o.client.flow.extra.http.headers
- SW-1717 - Correctness Tests for Usage of 'offsetCol' with H2OGBM
- SW-1737 - Ensure the client has full flatfile in external backend
Engineering Story
- SW-1702 - Upgrade to Gradle 5.6.4
- SW-1706 - Put h2o-security package into sparkling water assembly
- SW-1708 - Simplify distribution of security files
- SW-1710 - Enable client mode in Sparkling Water (needs to be done explictly)
- SW-1731 - Deprecate h2oNodeWebEnabled for external backend
- SW-1735 - Add job to test against rel and master branch of H2O
- SW-1736 - Create nightly job where we build sparkling water against h2o branches
- SW-1738 - Ensure benchmarks are not run as part of regular build

v3.26.10 (2019-11-07)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.26.10-2.1/index.html
for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.26.10-2.2/index.html
for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.26.10-2.3/index.html
for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.26.10-2.4/index.html

Bug
- SW-1685 - Fix Propagation of Extra Properties in In Internal Backend
- SW-1688 - Fix docker image generation for Scala Sparkling Water in Kuberntes Environment
- SW-1697 - MOJO Cache Causes That Scoring Applications Don't Finish When Everything Is Done
- SW-1700 - sparkling-water-utils is not published to maven
- SW-1701 - Upgrade H2O to 3.26.0.10

v3.26.9 (2019-10-31)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.26.9-2.1/index.html
for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.26.9-2.2/index.html
for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.26.9-2.3/index.html
for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.26.9-2.4/index.html

Bug
- SW-1676 - The getGridModelsParams() Method of H2OGridSearch Returns Incorrect Values for Nested Hyper-Paremeter Types
- SW-1678 - Scoring package is not published to nexus
- SW-1680 - Docs page is always missing last changelog
Improvement
- SW-1662 - Retry for conda upload in release pipeline
- SW-1675 - Expose Base Port for Worker Nodes in External Backend
- SW-1677 - Upgrade to H2O 3.26.0.9
- SW-1682 - Enable Users to Specify Extra H2O Parameters

v3.26.8 (2019-10-18)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.26.8-2.1/index.html
for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.26.8-2.2/index.html
for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.26.8-2.3/index.html
for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.26.8-2.4/index.html

Bug
- SW-1670 - Improve Synchronization in H2OMOJOBaseCache
New Feature
- SW-1664 - Enable Users to Specify Extra Http Headers for H2O Flow as SW Parameter
- SW-1667 - Enable Users to Specify Block Size of Communication in External Backend
- SW-1671 - Expose Property for Setting Lifetime of MOJOs in Cache
Improvement
- SW-1669 - Improve Variable Names in the ExternalBackendUtils Class
- SW-1672 - Remove Relocation of com.google.protobuf in Assembly Jar
- SW-1674 - Upgrade to H2O 3.26.0.8

v3.26.7 (2019-10-11)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.26.7-2.1/index.html
for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.26.7-2.2/index.html
for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.26.7-2.3/index.html
for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.26.7-2.4/index.html

Bug
- SW-1635 - Update Documentation of Deploying SW to Azure HDI
- SW-1656 - Ensure that after Cloud size X under Y failure the rest of the external cluster is killed
Improvement
- SW-1658 - Figure out better way of caching MOJO Pipelines in H2OMOJOPipelineModel transformer
- SW-1666 - Improve Performance of Loading Pipeline MOJO Files

v3.26.6 (2019-10-02)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.26.6-2.1/index.html
for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.26.6-2.2/index.html
for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.26.6-2.3/index.html
for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.26.6-2.4/index.html

Bug
- SW-1618 - HamOrSparm tests return false for both predictions in scripts tests
- SW-1623 - Fix intermittent NPE in PySparkling with rollups on external backend
- SW-1624 - H2OTargetEncoderMOJOModel Returns Wrong Results If Input Cols Are Not Ordered According To Training Dataset
- SW-1626 - Intermittent failure during conversion to h2o frame on External backend in PySparking
- SW-1642 - Prevent sending empty partitions to external H2O backend
- SW-1643 - Fix script test - ham or spam pipeline on grid search
- SW-1644 - Pysparkling 2.1 fails on parsing PySpark version
- SW-1645 - Revert SW-1337
Task
- SW-1617 - Benchmarks: Report Failure if Execution Goes Wrong
Improvement
- SW-1619 - [Spark2.3]Upgrade to Spark 2.3.4
- SW-1631 - Automatically increase client timeout on top of Azure
- SW-1638 - Make port 9009 configurable on Azure
- SW-1659 - Upgrade H2O to 3.26.0.6
Engineering Story
- SW-1602 - Enable all TargetEncoder tests

v3.26.5 (2019-09-16)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.26.5-2.1/index.html
for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.26.5-2.2/index.html
for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.26.5-2.3/index.html
for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.26.5-2.4/index.html

Bug
- SW-1570 - Fix typo contribution -> contributions on SHAPLY documentation page
- SW-1580 - importing pysparkling in Zeppelin fails on SW for 3.26.3
- SW-1583 - Add missing namedMojoOutputParameter to PySparkling Algo constructors
- SW-1584 - Remove extra asserts for types already covered by type converters
- SW-1585 - Improve H2oGridSearch internal handling of Algo + improve API of ordering
- SW-1592 - [BUILD] Use numpy compatible with python 2 and python 3
- SW-1596 - Jupyter notebook is unable to start kernel for Spark 2.4
- SW-1598 - Deprecate cases in H2OMojoPrediction where the prediction column does not directly contain the predicted value.
- SW-1600 - Fix IIOB when using calibrated probabilities on MOJO
- SW-1604 - PySparkling fails to parse pyspark version with build number, such as 2.3.1.dev0
- SW-1605 - Gradle reported success even though the python test failed
- SW-1610 - Fix running python tests by changing the env directly
- SW-1611 - Script tests are not being executed correctly - some tests are not being executed
- SW-1614 - Fix running python integ tests on external backend
Epic
- SW-1291 - Benchmarks
New Feature
- SW-1547 - Update H2OTargetEncoder according to changes in H2O-3 3.26.0.4
- SW-1593 - Upgrade to Spark 2.4.4
- SW-1609 - Automatically configure H2OContext in case we run on DBC in order to correctly show Flow
Task
- SW-1295 - Benchmarks: Configuration for External Backend
- SW-1296 - Benchmarks: Code Clean up
- SW-1553 - Benchmarks: Jenkins Pipeline
- SW-1616 - Benchmarks: Automatic Cluster Shutdown after Timeout
Improvement
- SW-1564 - Create gradle task to build scala image for kubernetes
- SW-1573 - Remove use of deprecated option spark.ext.h2o.external.cluster.num.h2o.nodes
- SW-1582 - Make sure H2OGLM API is consistent with others and does not use the labmda_ hack
- SW-1591 - Don't use strings to define algo name
- SW-1597 - Add a note to documentation informing that terraform template is available only for Spark 2.4
- SW-1613 - Upgrade H2O to 3.26.0.4
- SW-1615 - Remove examples from assembly jar
Engineering Story
- SW-1567 - Upgrade version of h2o docker image from 58 to the 64
- SW-1571 - Upgrade CI docker image for 19 ( build on latest hadoop docker image hd2.2:64)
- SW-1576 - Retrain sms_pipeline_model for PipelinePredictionTest so it uses ai.h2o package
- SW-1577 - Generic logic to test parametr passing to algo wrappers on PySParkling
- SW-1594 - Upgrade to a docker image with Spark 2.4.4
- SW-1599 - Target Encoder Tests Covering Various Order of Columns
- SW-1603 - Install Terraform to Docker Image Running Tests
Docs
- SW-1581 - Add Rule of Thumb for Data Conversion
- SW-1595 - Document How to Generate Prediction Contributions from an Existing MOJO

v3.26.3 (2019-08-28)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.26.3-2.1/index.html
for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.26.3-2.2/index.html
for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.26.3-2.3/index.html
for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.26.3-2.4/index.html

Bug
- SW-1477 - Fix bug with setting init on KMeans
- SW-1478 - Don't need to start H2O to initialize algo on PySparkling side
- SW-1486 - Remove extra argument on H2OAUtoML pyspark wrapper
- SW-1491 - Fix wrong statement regarding version in terraform documentation
- SW-1493 - Properly apply type checks even for None values on all H2OAutoML parameters
- SW-1498 - Check if Jar is already attached to the cluster in Initializer
- SW-1499 - Extract zip file into temp directory owned and configured by Spark configured by spark.local.dir
- SW-1509 - Rename colsampleBytree to colSampleByTree on H2OXGBoost in Scala & Python
- SW-1512 - Fix broken link to Running Sparkling Water on supported platforms in the doc
- SW-1516 - latest-stable/doc/deployment/pysparkling_pipeline.html is refering to old ratio and predictionCol parameters
- SW-1517 - Update doc for RSparkling on Windows for latest RSparkling changes
- SW-1520 - Fix warning 'H2OMOJOSettings' object has no attribute '_java_obj'
- SW-1521 - Fix wrong link to latest spark version in main README
- SW-1522 - createTempDit in SharedBackendUtils should create temp fiels in the Spark temp dir
- SW-1523 - Fix IP based cloud-up on client side
- SW-1524 - Fix getters on MOJO models
- SW-1525 - Fix broken links in the documentation (poiting to old release or unexistent locations)
- SW-1526 - PySparkling cannot parse embedded version.txt file.
- SW-1527 - Verify version between H2O external back-end & H2O client on Spark driver
- SW-1541 - Fix get-extended-h2o script to reflect new location of sparkling water releases
- SW-1543 - Expose driver if, port, port range and extra memory percent configuration for external H2O cluster
- SW-1546 - Fix SpreadRDDBuilder not serializable exception
- SW-1548 - Move all pysparkling source files into single src dir
- SW-1551 - Fix path to external jars generated by ./gradlew extendJar
- SW-1555 - Fix obtaining the version when pysparkling is installed via pip
- SW-1558 - Use absolute imports in tests as the relative ones are removed in python3
- SW-1565 - startWorkerNodes and startClient was returning hostname instead of ip address
Story
- SW-1530 - Conversion to H2OFrame needs to work without running H2O client
New Feature
- SW-1557 - GLM no longer use MissingValuesHandling enum from DeepLearning
Task
- SW-1487 - Update examples/README file
- SW-1506 - Benchmarks: Terraform template for running benchmarks in EMR
- SW-1542 - Benchmarks: Name of result file should contain backed and master
- SW-1552 - Benchmarks: Gradle Task for Execution of Benchmarks
Improvement
- SW-1368 - MOJO depploymet package
- SW-1475 - Expose predict_contributions for H2OMOJOModel
- SW-1481 - Deprecate H2OMOJOModel, H2OMOJOPipelineModel and H2OMOJOSettings in the org.apache.spark package
- SW-1483 - Deprecate algos and features in org.apache.spark package
- SW-1485 - Handle sortMetric param in H2OAutoML the same way as other enums
- SW-1490 - Immutable projectName on H2OAUtoML
- SW-1494 - Upgrade Terraform Templates to AWS Provider 2.23
- SW-1501 - Fix 'ai.h2o:sparkling-water-package_2.11:2.4.13'/'h2o_pysparkling_2.4' conflict on Azure Databricks
- SW-1502 - Upgrade to mojo2 library v2.1.3
- SW-1503 - Avoid null on AutoML include & exlude Algos params
- SW-1504 - Apply type converterts to rest of the PySparkling
- SW-1515 - Upgrade to H2O 3.26.0.3
- SW-1528 - Upgrade Gradle to Gradle 5.6
- SW-1540 - Remove unnecessary read confirmation timeout
- SW-1549 - Upgrade default instances in terraform templates to M5.xlarge
- SW-1550 - Remove unsupported notebook (referencing dead deepwater)
Engineering Story
- SW-1476 - Avoid duplication between mojo params and algo params
- SW-1480 - Cleanup of PySparkling package -> moving to new package ai.h2o
- SW-1511 - Remove unused init_scala_int_session() from PySparkling
- SW-1539 - Avoid boiler plate code when introducing new test suite in PySpakrling

v3.26.2 (2019-07-30)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.1/3.26.2-2.1/index.html
for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.2/3.26.2-2.2/index.html
for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.3/3.26.2-2.3/index.html
for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/spark-2.4/3.26.2-2.4/index.html

Bug
- SW-1337 - Restarting h2o cluster makes all Spark Sessions connected to it unusable
- SW-1379 - Fix IOOB exception when converting H2OFrame to DataFrame
- SW-1381 - Bad quotes in documentation
- SW-1382 - Remove extra quote in exception on ExternalH2OBackend
- SW-1383 - Fix cloud up in external backend manual mode
- SW-1384 - Fix wrong statement in rsparkling documentation
- SW-1390 - Fix NPE when reading modelDetails in Mojo
- SW-1393 - Use Python formatting for Python in secured_flow.rst
- SW-1396 - Fix wrong exception in H2OAutoML sort metric handling
- SW-1397 - User setClusterSize instead of deprecated setter in tests
- SW-1400 - Nullability tests in DataFrameConverterTest should use data frames with an explicit schema
- SW-1413 - Use VectorUDT in RowConverter
- SW-1418 - Lower memory requirements in tests
- SW-1439 - [Prototype] Switch to using String value on the setters & getters in the ml API on distribution param
- SW-1441 - PySparkling can't be started after version change using pysparkling.sh
- SW-1447 - Remove missingValuesHandling param from XGBoost wrapper
- SW-1454 - It is no longer possible to specify predictionCol :(
- SW-1462 - convertInvalidNumbersToNa missing on PySparkling
- SW-1463 - Fix setters which accept both int and float
- SW-1464 - Fix nullableArrayArray param for pyspakrling
- SW-1468 - Use absolute imports as the relative ones are removed in python3
- SW-1470 - DatasetWrapper should use withColumn insteadOf withColumns method
- SW-1472 - Fix tests after modifying allStringsToCategorical
New Feature
- SW-1425 - Add Target Encoding to Sparkling Water Python API
- SW-1446 - Implement H2OKmeans pipeline wrapper
- SW-1455 - Introduce NullableDoubleArrayParam for KMeans
- SW-1456 - Documentation of Target Encoder
Task
- SW-1294 - Benchmarks: Infrastructure for Getting Information about Execution Details
Improvement
- SW-1207 - Add Target Encoding to Sparkling Water Scala API
- SW-1344 - Unify ml package accross rel branches
- SW-1351 - Unify jenkins scripts & create gradle profiles
- SW-1375 - Single execution path for all spark->h2o frame conversions
- SW-1387 - Handle vectors in SparkDataFrameConverter more explicitly
- SW-1388 - Specify spark specific source dir per project, so they can differ in subprojects
- SW-1392 - Document an example of training AutoML model
- SW-1394 - Modify sw_xgboost.rst to use tabs for Python and Scala code
- SW-1395 - ML Code simplifications & improvements
- SW-1402 - [MAJOR_RELESE] Remove deprecated methods
- SW-1412 - Integrate generic conversion logic to data frame conversion to H2O frames
- SW-1417 - Improve SNAPSHOT handling
- SW-1419 - Jenkins file improvements -> publish nihhtly only if both External & internal test pass for all Spark versions
- SW-1421 - Upgrade to H2O 3.26.0.1
- SW-1422 - Switch to one version of Sparkling Water
- SW-1424 - Upgrade to H2O 3.26.0.2
- SW-1430 - Use downloadLogs method from H2O and remove relevant methods on Sparkling Water side
- SW-1436 - Fix warninig in python package as SW version no longer starts with spark major version
- SW-1437 - Remove duplicate spark version specifier on pysparkling
- SW-1442 - Update build SW doc
- SW-1443 - Ignore local-cluster failing tests
- SW-1444 - Use string representations instead of enums on Pipeline API
- SW-1448 - Refactor parameters into supervised & unsupervised
- SW-1449 - Create Supervised & Unsupervised Algorithm
- SW-1451 - Document H2OKmeans pipeline wrapper
- SW-1452 - Refactor params to supervised and unsupervised on PySparklin side
- SW-1453 - Put back constructor checks for Enums on PySparkling side ( accidentally removed)
- SW-1473 - Rename H2OTargetEncoderMojoModel to H2OTargetEncoderMOJOModel
Engineering Story
- SW-1378 - Integration test for flattening logic
- SW-1386 - Micro benchmark for conversion from a DataFrame to H2OFrame
- SW-1404 - Unification of creating header page across different spark versions
- SW-1457 - Test passing params to pipeline wrappers of H2O Algos
- SW-1458 - No longer need to H2OContext.getOrCreate ini __init__ methods of pysparkling algo wrappers
- SW-1459 - Avoid duplicating MojoParams on PySparkling side
- SW-1460 - Infrastructure for prediction column with a simple prediction value
- SW-1461 - prepare ai.h2o.sparkling structure on PySpakrling side
- SW-1466 - Move logic for converting columns to categorical to prepareDatasetForFitting method

v2.1.56, v2.2.42, v2.3.31, v2.4.13 (2019-06-24)¶

Downloads:

for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.4/13/index.html

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/31/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/42/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/56/index.html

Bug
- SW-1140 - Add more logging to discover intermittent RSparkling Issue in jenkins tests
- SW-1318 - add back to JavaH2OContext method asDataFrame(.., SQLContext) but deprecated
- SW-1321 - Remove mention of H2O UDP from user documentation
- SW-1322 - Fix wrong doc in ssl.rst -> val conf: H2OConf = // generate H2OConf file
- SW-1323 - Model ID not available on our algo pipeline wrappers
- SW-1338 - Follow up fixes after RSparkling change
- SW-1339 - Use s3-cli instead of s3cmd because of performance reasons on nightlies
- SW-1340 - Fix spinx warning
- SW-1342 - Fix dist
- SW-1343 - Fix dist structure
- SW-1345 - Fix missing rsparkling in dist package
- SW-1347 - Scaladoc not uploaded to S3 after porting make-dist to gradle
- SW-1359 - Fix wrong links on nightly build page
- SW-1360 - Explicitly send hearbeat after we have complete flatfile
- SW-1361 - sparkling water package on maven should assembly jar
- SW-1362 - gradle.properties in distribution contains wrong version
- SW-1364 - Rename SVM to SparkSVM
- SW-1374 - Minor documentation fixes
New Feature
- SW-1021 - Upload RSparkling to S3 in a form of R repository
- SW-1353 - Introduce logic flatting data frames with arbitrarily nested structures
Improvement
- SW-554 - Include all used dependency licenses in the uber jar.
- SW-1308 - Bundle Sparkling Water jar into rsparkling -> making rsparkling version dependent on specific sparkling water
- SW-1317 - Unify repl acros different rel branches
- SW-1325 - Expose jks_alias in Sparkling Water
- SW-1326 - Include SW version in more log statements
- SW-1330 - Add additional log to H2O cloudup in internal backend mode
- SW-1331 - Create local repo with RSparkling
- SW-1332 - [RSparkling] Make installation from S3 the default recommended option
- SW-1333 - Move the conversion logic from Spark Row to H2O RowData to a separate entity
- SW-1334 - Store H2O models in transient lazy variables of SW Mojo models
- SW-1335 - Make automl tests more deterministic by using max_models instead of max_runtime_secs
- SW-1341 - Use readme as main dispatch for documentation
- SW-1346 - Remove chache and unpersist call in SpreadRDDBuilder
- SW-1348 - Switch to s3 cli on release pipelines
- SW-1349 - Use withColumn instead of select in MOJO models
- SW-1350 - Fix links to doc & scaladoc on nightly builds
- SW-1352 - Upgrade H2O to 3.24.0.5
- SW-1365 - Run only last build in jenkins
- SW-1369 - Download page is missing one step on RSparkling tab -> library(rsparkling)
- SW-1371 - Create maven repo on our s3 for each release and nightly
- SW-1373 - Update DBC documentation with respoect to latest RSparkling development

v2.1.55, v2.2.41, v2.3.30, v2.4.12 (2019-06-03)¶

Downloads:

for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.4/12/index.html

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/30/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/41/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/55/index.html

Bug
- SW-1259 - Unify ratio param across pipeline api
- SW-1287 - Use RPC endpoints to orchestrate cloud in internal mode
- SW-1290 - Fix doc
- SW-1301 - Fix class-loading for Sparkling Water assembly JAR in PySparkling
- SW-1311 - Add numpy as PySparkling dependency ( it is required because of Spark but missing from list of dependencies)
- SW-1312 - Warn that default value of convertUnknownCategoricalLevelsToNa will be changed to false on GridSearch & AutoML
- SW-1316 - Fix wrong fat jar name
Task
- SW-1292 - Benchmarks: Subproject Skeleton
Improvement
- SW-1212 - Make sure python zip/wheel is downloadable from our release s3
- SW-1274 - On download page -> list all supported minor versions
- SW-1286 - Remove Param propagation of MOJOModels from Python to Java
- SW-1288 - H2OCommonParams in pysparkling
- SW-1289 - Move shared params to H2OCommonParams
- SW-1298 - Don't use deprecated methods
- SW-1299 - Warn user that default value of predictionCol on H2OMOJOModel will change in the next major release to 'prediction'
- SW-1300 - Upgrade to H2O 3.24.0.4
- SW-1304 - Definition of assembly jar via transitive exclusions
- SW-1305 - Move ability to change behavior of MOJO models to MOJOLoader
- SW-1306 - Move make-dist logic to gradle
- SW-1307 - Expose binary model in spark pipeline stage
- SW-1309 - Fix xgboost doc
- SW-1313 - Rename the 'create_from_mojo' method of H2OMOJOModel and H2OMOJOPipelineModel to 'createFromMojo'

v2.1.54, v2.2.40, v2.3.29, v2.4.11 (2019-05-17)¶

Downloads:

for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.4/11/index.html

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/29/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/40/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/54/index.html

Bug
- SW-1256 - Fix constructor of H2OMojoModel
- SW-1258 - Remove internal constructors & Deprecate implicit constructor parameters for H2O Algo Spark Estimators( to be the same as in PySparkling)
- SW-1270 - Fix version check in PySpakrling shell
- SW-1278 - Clean workspace on the hadoop node in integ tests
- SW-1279 - Fix inconsistencies between H2OAutoML, H2OGridSearch & H2OALgorithm
- SW-1281 - Fix bad representation of predictionCol on H2OMOJOModel
- SW-1282 - XGBoost can't be used in H2OGridSearch pipeline wrapper
- SW-1283 - Correctly return mojo model in pysparkling after fit
Story
- SW-1271 - Remove SparkContext from H2OSchemaUtils
- SW-1273 - Upgrade to H2O 3.24.0.3
New Feature
- SW-1248 - getFeaturesCols() should not return the fold column or weight column
- SW-1249 - probability calibration does not work in Sparkling Water Dataframe API
Improvement
- SW-369 - Override spark locality so we use only nodes on which h2o is running.
- SW-1216 - Improve PySparkling README
- SW-1261 - Remove binary H2O model from ML pipelines
- SW-1263 - Don't require initializer call to be called during pysparkling pipelines
- SW-1264 - Use default params reader in pipelines
- SW-1268 - Non-named columns are long time deprecated. Switch to named columns by default
- SW-1269 - Remove six as dependency from PySparkling launcher ( six is no longer dependency)
- SW-1275 - Remove unnecessary constructor in helper class
- SW-1280 - Add predictionCol to mojo pipeline model

v2.1.53, v2.2.39, v2.3.28, v2.4.10 (2019-04-26)¶

Downloads:

for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.4/10/index.html

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/28/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/39/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/53/index.html

Bug
- SW-1189 - Fix Sparkling Water 2.1.x compile on Scala 2.10
- SW-1194 - RSparkling Can't be used on Spark 2.4
- SW-1195 - Disable gradle daemon via gradle.properties
- SW-1196 - Fix org.apache.spark.ml.spark.models.PipelinePredictionTest
- SW-1203 - Custom metric not evaluated in internal mode of Sparkling Water
- SW-1227 - Change get-extended-jar to use https instead of http
- SW-1230 - Fix typo in GLM API - getRemoteCollinearColumns, setRemoteCollinearColumns
- SW-1232 - Fix RUnits after upgrading to Gradle 5.3.1
- SW-1234 - Deprecate asDataFrame with implicit argument
Story
- SW-1198 - Introduce new annotation deprecating legacy methods in API
- SW-1209 - Rename the 'predictionCol' model parameter to 'labelCol'
- SW-1226 - Introduce mechanism for enabling backward compatibility of MOJO files when properties are renamed
New Feature
- SW-1193 - Expose weights_column parameter
Improvement
- SW-1188 - RSparkling: Add ability to add authentication details when calling h2o_context(sc)
- SW-1190 - Improve hint description for disabling automatic usage of broadcast joins
- SW-1199 - Improve memory efficiency of H2OMOJOPipelineModel
- SW-1202 - Simplify Sparkling Water build
- SW-1204 - Fix formating in python tests
- SW-1208 - Create pysparkling tests report file if it does not exist
- SW-1210 - Add fold column to python and scala pipelines
- SW-1211 - Automatically download H2O Wheel
- SW-1213 - Upgrade to H2O 3.24.0.2
- SW-1214 - Remove PySparkling six dependency as it was removed in H2O
- SW-1215 - Automatically generate PySparkling README
- SW-1217 - Automatically generate last pieces of doc subproject
- SW-1219 - Remove suport for testing external cluster in manual mode
- SW-1221 - Remove unnecessary branch check
- SW-1222 - Remove duplicate readme file (contains old info & the correct info is in doc)
- SW-1223 - Remove confusing meetup dir
- SW-1224 - Upgrade to Gradle 5.3.1
- SW-1228 - Rename the 'ignoredColumns' parameter of H2OAutoML to 'ignoredCols'
- SW-1229 - Remove dependencies to Scala 2.10
- SW-1235 - Remove support for Python 2.6 on rel-2.1
- SW-1236 - Reformat few python classes
- SW-1238 - Parametrize EMR version in templates generation
- SW-1239 - Remove old README and DEVEL doc files (not just pointer to new doc)
- SW-1240 - Use minSupportedJava for source and target compatibility in build.gradle

v2.1.52, v2.2.38, v2.3.27, v2.4.9 (2019-04-03)¶

Downloads:

for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.4/9/index.html

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/27/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/38/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/52/index.html

Bug
- SW-1162 - Exception when there is a column with BOOLEAN type in dataset during H2OMOJOModel transformation
- SW-1177 - In Pysparkling script, setting –driver-class-path influences the environment
- SW-1178 - Upgrade to h2O 3.24.0.1
- SW-1180 - Use specific metrics in grid search, in the same way as H2O Grid
- SW-1181 - Document off heap memory configuration for Spark in Standalone mode/IBM conductor
- SW-1182 - Fix random project name generation in H2OAutoML Spark Wrapper
New Feature
- SW-1167 - Expose search_criteria for H2OGridSearch
- SW-1174 - expose H2OGridSearch models
- SW-1183 - Add includeAlgos to H2o AutoML pipeline stage & ability to ignore XGBoost
Improvement
- SW-1164 - Add Sparkling Water to Jupyter spark/pyspark kernels in EMR terraform template
- SW-1171 - Upgrade build to Gradle 5.2.1
- SW-1175 - Integrate with H2O native hive support

v2.1.51, v2.2.37, v2.3.26, v2.4.8 (2019-03-15)¶

Downloads:

for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.4/8/index.html

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/26/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/37/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/51/index.html

Bug
- SW-1163 - Expose missing variables in shared TF EMR SW tamplate
Improvement
- SW-1145 - Start jupyter notebook with Scala & Python Spark in AWS EMR Terraform template
- SW-1165 - Upgrade to H2O 3.22.1.6

v2.1.50, v2.2.36, v2.3.25, v2.4.7 (2019-03-07)¶

Downloads:

for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.4/7/index.html

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/25/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/36/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/50/index.html

Bug
- SW-1150 - hc.stop() shows 'exit' not defined error
- SW-1152 - Fix RSparkling in case the jars are being fetched from maven
- SW-1156 - H2OXgboost pipeline stage does not define updateH2OParams method
- SW-1159 - Unique project name in automl to avoid sharing one leaderboard
- SW-1161 - Fix grid search pipeline step on pyspark side
Improvement
- SW-1052 - Document teraform scripts for AWS
- SW-1089 - Document using Google Cloud Storage In Sparkling Water
- SW-1135 - Speed up conversion between sparse spark vectors and h2o frames by using sparse new chunk
- SW-1141 - Improve terraform templates for AWS EMR and make them part of the release process
- SW-1149 - Allow login via ssh to created cluster using terraform
- SW-1153 - Add H2OGridSearch pipeline stage to PySpark
- SW-1155 - Test GBM Grid Search Scala pipeline step
- SW-1158 - Generalize H2OGridSearch Pipeline step to support other available algos
- SW-1160 - Upgrade to H2O 3.22.1.5

v2.1.49, v2.2.35, v2.3.24, v2.4.6 (2019-02-18)¶

Downloads:

for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.4/6/index.html

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/24/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/35/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/49/index.html

Bug
- SW-1136 - Fix bug affecting loading pipeline in python when stored in scala
- SW-1138 - Fix several cases in spark vector -> h2o conversion
Improvement
- SW-1134 - Add H2OGLM Wrapper to Sparkling Water
- SW-1139 - Update mojo2 to 0.3.16
- SW-1143 - Fix s3 bootstrap templates for nightly builds
- SW-1144 - Upgrade to H2O 3.22.1.4

v2.1.48, v2.2.34, v2.3.23, v2.4.5 (2019-01-29)¶

Downloads:

for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.4/5/index.html

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/23/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/34/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/48/index.html

Bug
- SW-1133 - Upgrade to H2O 3.22.1.3

v2.1.47, v2.2.33, v2.3.22, v2.4.4 (2019-01-21)¶

Downloads:

for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.4/4/index.html

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/22/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/33/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/47/index.html

Bug
- SW-1129 - Fix support for unsupervised mojo models
Improvement
- SW-1101 - Update code to work with latest jetty changes
- SW-1127 - Upgrade H2O to 3.22.1.2

v2.1.46, v2.2.32, v2.3.21, v2.4.3 (2019-01-17)¶

Downloads:

for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.4/3/index.html

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/21/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/32/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/46/index.html

Bug
- SW-1116 - Cannot serialize DAI model
Improvement
- SW-1113 - Update to H2O 3.22.0.5
- SW-1115 - Enable tabs in the documentation based on the language
- SW-1120 - Prepare Terraform scripts for Sparkling Water on EMR
- SW-1121 - Use getTimestamp method instead of _timestamp directly

v2.1.45, v2.2.31, v2.3.20, v2.4.2 (2019-01-08)¶

Downloads:

for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.4/2/index.html

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/20/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/31/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/45/index.html

Bug
- SW-1107 - NullPointerException at water.H2ONode.openChan(H2ONode.java:417) after upgrade to H2O 3.22.0.3
- SW-1110 - Fix test suite to test PySparkling YARN integration tests on external backend as well
Task
- SW-1109 - Docs: Change copyright year in docs to include 2019
Improvement
- SW-464 - Publish PySparkling as conda package
- SW-1111 - Update H2O to 3.22.0.4

v2.1.44, v2.2.30, v2.3.19, v2.4.1 (2018-12-27)¶

Downloads:

for Spark 2.4: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.4/1/index.html

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/19/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/30/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/44/index.html

Bug
- SW-1084 - Documentation link does not work on the Nightly Bleeding Edge download page
- SW-1100 - Fix Travis builds
- SW-1102 - Fix Travis builds (test just scala unit tests)
Improvement
- SW-464 - Publish PySparkling as conda package
- SW-1080 - Fix deprecation warning regarding automl -> AutoML
- SW-1092 - Updates to streaming app
- SW-1093 - Update to H2O 3.22.0.3
- SW-1094 - Upgrade gradle to 4.10.3
- SW-1095 - Enable GCS in Sparkling Water
- SW-1097 - Properly integrate GCS with Sparkling Water, including test in PySparkling
Docs
- SW-1083 - Add Installation and Starting instructions to the docs

v2.1.43, v2.2.29, v2.3.18 (2018-11-27)¶

Downloads:

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/18/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/29/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/43/index.html

Improvement
- SW-1078 - Upgrade H2O to 3.22.0.2

v2.1.42, v2.2.28, v2.3.17 (2018-10-27)¶

Downloads:

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/17/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/28/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/42/index.html

Bug
- SW-1071 - Fallback to original IP discovery in case we can't find the same network
- SW-1072 - Fix handling time column for mojo pipeline
- SW-1073 - Upgrade MOJO to 0.3.17
Improvement
- SW-1045 - Upgrade H2O to 3.22.0.1

v2.1.41, v2.2.27, v2.3.16 (2018-10-17)¶

Downloads:

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/16/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/27/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/41/index.html

Bug
- SW-930 - Enable AutoML tests in Sparkling Water
- SW-1065 - Fix isssue with empty queue name by default
- SW-1066 - In PySparkling, don't reconnect if already connected
- SW-1068 - Fix warning in doc
Improvement
- SW-1057 - Sparkling shell ignores parameters after last updates
- SW-1058 - Automatic detection of client ip in external backend
- SW-1059 - Pysparkling in external backend, manual mode stops the backend cluster, but the cluster should be left intact
- SW-1060 - Create nightly release for 2.1, 2.2 and 2.3
- SW-1061 - Upgrade to Mojo 0.3.15
- SW-1062 - Don't expose mojo internal types
- SW-1063 - More explicit checks for valid values of Backend mode and external backend start mode
- SW-1064 - Expose run_as_user for External H2O Backend
- SW-1069 - Upgrade H2O to 3.20.0.10

v2.1.40, v2.2.26, v2.3.15 (2018-10-02)¶

Downloads:

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/15/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/26/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/40/index.html

Bug
- SW-1041 - Fix passing –jars to sparkling-shell
- SW-1042 - More robust check for python package in PySparkling shell
- SW-1048 - Add missing six dependency to setup.py for PySparkling
Improvement
- SW-1043 - Mojo pipeline with multiple output columns (and also with dots in the names) does not work in SW
- SW-1054 - Upgrade H2O dependency to 3.20.0.9

v2.1.39, v2.2.25, v2.3.14 (2018-09-24)¶

Downloads:

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/14/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/25/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/39/index.html

New Feature
- SW-1020 - Expose leaderboard on H2OAutoML
- SW-1022 - Display Release creation date on the download page
Improvement
- SW-1024 - remove call to ./gradlew –help in jenkins pipeline
- SW-1025 - Ensure that release does not depend on build id
- SW-1026 - Automatically update master after RSparkling release with latest version
- SW-1030 - [RSparkling] In case only path to SW jar file is specified, discover the version from JAR file instead of requiring it as parameter
- SW-1031 - Enable installation ot RSparkling using devtools from Github repo
- SW-1032 - Upgrade mojo pipeline to 0.13.2
- SW-1033 - Document automatic certificate creation for Flow UI
- SW-1034 - PySparkling fails if we specify https argument as part of getOrCreate()
- SW-1035 - Document using s3a and s3n on Sparkling Water
- SW-1036 - Upgrade to H2O 3.20.0.8
- SW-1038 - The shell script bin/pysparkling should print missing dependencies
- SW-1039 - Upgrade Gradle to 4.10.2
Docs
- SW-1018 - Fix link to Installing RSparkling on Windows

v2.1.38, v2.2.24, v2.3.13 (2018-09-14)¶

Downloads:

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/13/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/24/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/38/index.html

New Feature
- SW-1023 - Upgrade Gradle to 4.10.1
Improvement
- SW-1019 - Upgrade H2O to 3.20.0.7
- SW-1027 - Revert Upgrade to Gradle 4.10.1(bug in Gradle) and upgrade to Gradle 4.0
- SW-1028 - Update docs and mention that ORC is supported
Docs
- SW-1017 - Docs: Add Parquet to list of supported data formats

v2.1.37, v2.2.23, v2.3.12 (2018-08-28)¶

Downloads:

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/12/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/23/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/37/index.html

Bug
- SW-270 - Add test for RDD[TimeStamp] -> H2OFrame[Time] -> RDD[Timestamp] conversion
- SW-319 - SVMModelTest is failing
- SW-986 - Fix links on RSparkling Readme page
- SW-996 - Fix typos in documentation
- SW-997 - Fix javadoc on JavaH2OContext
- SW-1000 - Setting context path in pysparkling fails to launch h2o
- SW-1001 - RSparkling does not respect context path
- SW-1002 - Automatically generate the keystore for H2O Flow ssl (self-signed certificates)
- SW-1003 - When running in Local mode, we ignore some configuration
- SW-1004 - Fix context path value checks
- SW-1005 - Use correct scheme in sparkling water when ssl on flow is enabled
- SW-1006 - Fix context path setting on RSparkling
- SW-1015 - Add context path after value of spark.ext.h2o.client.flow.baseurl.override when specified
New Feature
- SW-980 - Integrate XGBoost in Sparkling Water
- SW-1012 - Sparkling water External Backend Support in kerberized cluster
Task
- SW-988 - Add to docs that pysparkling has a new dependency pyspark
Improvement
- SW-175 - JavaH2OContext#asRDD implementation is missing
- SW-920 - Sparkling Water/RSparkling needs to declare additional repository
- SW-989 - Improve Scala Doc API of the support classes
- SW-991 - Update Gradle Spinx libraries - faster documentation builds
- SW-992 - Create abstract class from creating parameters from Enum for Sparkling Water pipelines
- SW-993 - [PySparkling] Fix Wrong H2O version detection on latest bundled H2Os
- SW-994 - Add timeouts & retries for docker pull
- SW-998 - Document using PySparkling on the edge node ( EMR)
- SW-1007 - Upgrade H2O to 3.20.0.6
- SW-1011 - Fix EMR bootstrap scripts
- SW-1013 - Add option which can be used to change the flow address which is printed out after H2OConetext started
- SW-1014 - Document how to run Sparkling Water on kerberized cluster

v2.1.36, v2.2.22, v2.3.11 (2018-08-09)¶

Downloads:

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/11/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/22/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/36/index.html

Bug
- SW-971 - Change maintainer of RSparkling to jakub@h2o.ai
- SW-972 - Fix Content of RSparkling release table
- SW-973 - Allow passing custom cars when running ./bin/sparkling/shell
- SW-975 - Fix CRAN issues of Rsparkling
- SW-981 - Fix wrong comparison of versions when detecing other h2o versions in PySparkling
- SW-982 - Set up client_disconnect_timeout correctly in context on External backend, auto mode
- SW-983 - Fix missing mojo impl artifact when running pysparkling tests in jenkins
Task
- SW-633 - Add to doc that 100 columns are displayed in the preview data by default
Improvement
- SW-528 - Update PySparkling Notebooks to work for Python 3
- SW-548 - List nodes and driver memory in Spark UI - SParkling Water Tab
- SW-910 - Use Mojo Pipeline API in Sparkling Water
- SW-969 - Port documentation for mojo pipeline on Spark to SW repo
- SW-970 - Upgrade Mojo 2 in SW to 0.11.0
- SW-976 - Upgrade H2O to 3.20.0.5
- SW-977 - Need ability to disable Flow UI for Sparkling-Water
- SW-979 - Verify that we are running on correct Spark for PySparkling at init time
- SW-984 - Cache also test and runtime dependencies in docker image
Docs
- SW-946 - Add "How to" for using Sparkling Water on Google Cloud Dataproc

v2.1.35, v2.2.21, v2.3.10 (2018-08-01)¶

Downloads:

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/10/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/21/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/35/index.html

Bug
- SW-903 - Automate releases of RSparkling and create release pipeline for this release proccess
- SW-911 - Add missing repository to the documentation
- SW-944 - Fix Sphinx gradle plugin, the latest version does not work
- SW-945 - Stabilize releasing to Nexus Repository
- SW-953 - Do not stop external H2O backend in case of manual start mode
- SW-958 - Fix RSparkling README style issues
- SW-959 - Fix address for fetching H2O R package in nightly tests
- SW-961 - Add option to ignore SPARK_PUBLIC_DNS
- SW-962 - Add option which ensures that items in flatfile are translated to IP address
- SW-967 - Deprecate old behaviour of mojo pipeline output in SW
Improvement
- SW-233 - Warn if user's h2o in python env is different then the one bundled in pysparkling
- SW-921 - Move Rsparkling to Sparkling Water repo
- SW-941 - Upgrade Gradle to 4.9
- SW-952 - Fix issues when stopping Sparkling Water (Scala) in yarn-cluster mode for external Backend
- SW-957 - RSparkling should run tests in both, external and internal mode
- SW-963 - Upgrade H2O to 3.20.0.4
- SW-965 - Expose port offset in Sparkling Water
- SW-968 - Remove confusing message about stopping H2OContext in PySparkling

v2.1.34, v2.2.20, v2.3.9 (2018-07-16)¶

Downloads:

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/9/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/20/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/34/index.html

Bug
- SW-902 - Upgrade Gradle to 4.8.1
- SW-904 - Upgrade Mojo2 version to 0.10.7
- SW-909 - Fix issues when stopping Sparkling Water (Scala) in yarn-cluster mode
- SW-925 - Fix missing aposthrope in documentation
- SW-929 - Disable temporarily AutoML tests in Sparkling Water
New Feature
- SW-826 - Implement Synchronous and Asynchronous Scala cell behaviour
Improvement
- SW-846 - Don't parse types again when passing data to mojo pipeline
- SW-886 - Several Scala cell improvements in H2O flow
- SW-887 - Make sure that we can use schemes unsupported by H2O in H2O Confoguration
- SW-889 - Port AWS preparation scripts into SW codebase
- SW-894 - Add support for queuing of Scala cell jobs
- SW-914 - Wrong Spark version in documentation
- SW-915 - Upgrade to Spark 2.1.3
- SW-917 - Dockerize Sparkling Water release pipeline
- SW-919 - Clean gradle build with regards to mojo2
- SW-922 - Upgrade H2O to 3.20.0.3
- SW-928 - Expose AutoML max models
Docs
- SW-878 - Add section for using Sparkling Water with AWS

v2.1.33, v2.2.19, v2.3.8 (2018-06-18)¶

Downloads:

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/8/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/19/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/33/index.html

Improvement
- SW-885 - Upgrade H2O to 3.20.0.2

v2.1.32, v2.2.18, v2.3.7 (2018-06-18)¶

Downloads:

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/7/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/18/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/32/index.html

Bug
- SW-861 - Upgrade Gradle to 4.8 (publishing plugin)
- SW-872 - Fix reference to local-cluster on download page
- SW-880 - Update Hadoop version on download page
- SW-881 - Fix Script tests on Dockerized Jenkins infrastructure
- SW-882 - Call h2oContext.stop after ham or spam Scala example
- SW-883 - Add mising description in publish.gradle
Improvement
- SW-860 - Modify the hadoop launch command on download page
- SW-873 - Upgrade H2O to 3.20.0.1
- SW-874 - Update Mojo2 to 0.10.4
- SW-879 - Print output of script tests

v2.1.31, v2.2.17, v2.3.6 (2018-06-13)¶

Downloads:

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/6/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/17/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/31/index.html

Bug
- SW-850 - Expose methods to get input/output names in H2OMOJOPipelineModel
- SW-859 - Print Warning when spark-home is defined on PATH
- SW-862 - Create & fix test in PySparkling for named mojo columns
- SW-864 - Fix & more readable test
- SW-865 - Better Naming of the UDF method to obtain predictions
- SW-869 - Add repository to build required by xgboost-predictor
Story
- SW-856 - Upgrade Mojo2 to latest version
Improvement
- SW-839 - Verify that Spark time column representation can be digested by Mojo2
- SW-848 - Document Kerberos on Sparkling Water
- SW-849 - Update use from maven on sparkling water download page
- SW-851 - Make use of output types when creating Spark DataFrame out of mojo2 predicted values
- SW-852 - Create spark UDF used to extract predicted values
- SW-853 - Sparkling Water py should require pyspark dependency
- SW-854 - Upgrade MojoPipeline to 0.10.0
- SW-855 - Upgrade H2O to 3.18.0.11

v2.1.30, v2.2.16, v2.3.5 (2018-05-23)¶

Downloads:

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/5/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/16/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/30/index.html

Bug
- SW-842 - Enforce system level properties in SW
Improvement
- SW-845 - Upgrade H2O to 3.18.0.10
- SW-847 - Remove GA from Sparkling Water

v2.1.29, v2.2.15, v2.3.4 (2018-05-18)¶

Downloads:

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/4/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/15/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/29/index.html

Bug
- SW-836 - Add support for converting empty dataframe/RDD in Python and Scala to H2OFrame
- SW-841 - Remove withCustomCommitsState in pipelines as it's now duplicating Github
- SW-843 - Fix data obtaining for mojo pipeline
- SW-844 - Upgrade Mojo pipeline to 0.9.9

v2.1.28, v2.2.14, v2.3.3 (2018-05-15)¶

Downloads:

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/3/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/14/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/28/index.html

Bug
- SW-817 - Enable running MOJO spark pipeline without H2O init
- SW-825 - Local creation of Sparkling Water does not work anymore.
- SW-831 - Check shape of H2O frame after the conversion from Spark frame
- SW-834 - External Backend stored sparse vector values incorrectly
Improvement
- SW-829 - Type checking in PySparkling pipelines
- SW-832 - Small refactoring in identifiers
- SW-833 - Explicitly set source and target java versions
- SW-837 - Upgrade H2O to 3.18.0.9
- SW-838 - Upgrade Mojo pipeline dependency to 0.9.8
- SW-840 - Add test checking column names and types between spark and mojo2

v2.1.27, v2.2.13, v2.3.2 (2018-05-02)¶

Downloads:

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/2/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/13/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/27/index.html

Bug
- SW-574 - Process steam handle and use it for connection to external h2o cluster
- SW-822 - Require correct colorama version
- SW-823 - Fix Windows starting scripts
- SW-824 - Fix NPE in mojo pipeline predictions
New Feature
- SW-827 - Change color highlight in scala cell as it is too dark
Improvement
- SW-815 - Upgrade H2O to 3.18.0.8
- SW-816 - Update Mojo2 dependency to one which is compatible with Java7
- SW-818 - Spark Pipeline imports do not work in PySparkling
- SW-819 - Add ability to convert specific columns to categoricals in Sparkling Water pipelines
- SW-820 - Sparkling Water pipelines add duplicate response column to the list of features

v2.1.26, v2.2.12, v2.3.1 (2018-04-19)¶

Downloads:

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/1/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/12/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/26/index.html

Bug
- SW-672 - Enable using sparkling water maven packages in databricks cloud
- SW-787 - Documentation fixes
- SW-790 - Add missing seed argument to H2OAutoml pipeline step
- SW-794 - Point to proper web-based docs
- SW-796 - Use parquet provided by Spark
- SW-797 - Automatically update redirect table as part of release pipeline
- SW-806 - Fix exporting and importing of pipeline steps and mojo models to and from HDFS
Improvement
- SW-772 - Integrate & Test Mojo Pipeline with Sparkling Water
- SW-789 - Upgrade H2O to 3.18.0.7
- SW-791 - Expose context_path in Sparkling Water
- SW-793 - Create additional test verifying that the new light endpoint works as expected
- SW-798 - Additional link to documentation
- SW-800 - Remove references to Sparkling Water 2.0
- SW-804 - Reduce time of H2OAutoml step in pipeline tests to 1 minute
- SW-808 - Upgrade to Gradle 4.7

v2.1.25, v2.2.11, v2.3.0 (2018-03-29)¶

Downloads:

for Spark 2.3: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.3/0/index.html

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/11/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/25/index.html

Bug
- SW-696 - Intermittent script test issue on external backend
- SW-726 - Mark Spark dependencies as provided on artefacts published to maven
- SW-740 - Increase timeout for conversion in pyunit test for external cluster
- SW-760 - Fix doc artefact publication
- SW-763 - Remove support for downloading H2O logs from Spark UI
- SW-766 - Fix coding style issue
- SW-769 - Fix import
- SW-776 - sparkling water from maven does not know the stacktrace_collector_interval option
- SW-778 - Handle nulls properly in H2OMojoModel
New Feature
- SW-722 - [PySparkling] Check for correct data type as part of as_h2o_frame
Improvement
- SW-733 - Parametrize pipeline scripts to be able to specify different algorithms
- SW-746 - Log chunk layout after the conversion of data to external H2O cluster
- SW-755 - Document GBM Grid Search Pipeline Step
- SW-765 - Remove test artefacts from the sparkling-water assembly
- SW-768 - Add missing import
- SW-773 - Don't use default value for output dir in external backend, it's not required
- SW-780 - Upgrade H2O to 3.18.0.5
Docs
- SW-775 - Fix link for documentation on DEVEL.md

v2.1.24, v2.2.10 (2018-03-08)¶

Downloads:

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/10/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/24/index.html

Bug
- SW-739 - Sparkling Water Doc artefact is still missing Scala version
- SW-742 - Fix setting up node network mask on external cluster
- SW-743 - Allow to set LDAP and different security options in external backend as well
- SW-747 - Fix bug in documentation for manual mode of external backend
- SW-757 - Fix tests after enabling the stack-trace collection
Improvement
- SW-744 - Document how to use Sparkling Water with LDAP in Sparkling Water docs
- SW-745 - Expose Grid search as Spark pipeline step in the Scala API
- SW-748 - Upgrade to Gradle 4.6
- SW-752 - Collect stack traces on each h2o node as part of log collecting extension
- SW-754 - Upgrade H2O to 3.18.0.3
- SW-756 - Upgrade H2O to 3.18.0.4
Docs
- SW-753 - Add "How to" for changing the default H2O port

v2.1.23, v2.2.9 (2018-02-26)¶

Downloads:

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/9/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/23/index.html

Bug
- SW-723 - Sparkling water doc artefact is missing scala version
- SW-727 - Improve method for downloading H2O logs
- SW-728 - Use new light endpoint introduced in 3.18.0.1
- SW-734 - Make sure we use the unique key names in split method
- SW-736 - Document how to download logs on Databricks cluster
- SW-737 - Expose downloadH2OLogs on H2OContext in PySparkling
- SW-738 - Move spark.ext.h2o.node.network.mask setter to SharedArguments
Improvement
- SW-702 - Create Spark Transformer for AutoML
- SW-725 - create an an equvivalent of h2o.download_all_logs in scala
- SW-730 - Upgrade H2O to 3.18.0.2

v2.1.22, v2.2.8 (2018-02-14)¶

Downloads:

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/8/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/22/index.html

Technical task
- SW-652 - Deliver SW documentation in HTML output
Bug
- SW-685 - Fix Typo in documentation
- SW-695 - Make printHadoopDistributions gradle task available again for testing
- SW-701 - Kill the client when one of the h2o nodes went OOM in external mode
- SW-706 - Fix pysparkling.ml import for non-interactive sessions
- SW-707 - parquet import fails on HDP with Spark 2.0 (azure hdi cluster)
- SW-708 - Make sure H2OMojoModel does not required H2OContext to be initialized
- SW-709 - Fix mojo predictions tests
- SW-710 - In PySparkling pipelines, ensure that if users pass integer to double type we handle that correctly for all possible double values
- SW-713 - Write a simple test for parquet import in Sparkling Water
- SW-714 - Add option to H2OModel pipeline step allowing us to convert unknown categoricals to NAs
- SW-715 - Fix driverif configuration on the external backend
Improvement
- SW-606 - Verify & Document run of RSparkling on top of Databricks Azure cluster
- SW-678 - Document how to change log location
- SW-683 - H2OContext can't be initalized on Databricks cloud
- SW-686 - Fix typo in documentation
- SW-687 - Upgrade Gradle to 4.5
- SW-688 - Update docs - SparklyR supports Spark 2.2.1 in the latest release
- SW-690 - Log Sparkling Water version during startup of Sparkling Water
- SW-693 - Allow to set driverIf on external H2O backend
- SW-694 - Fix creation of Extended JAR in gradle task
- SW-700 - Report Yarn App ID of spark application in H2OContext
- SW-703 - Upload generated sphinx documentation to S3
- SW-704 - Update links on the download page to point to the new docs
- SW-705 - Increase memory for JUNIT tests
- SW-718 - Upgrade to Gradle 4.5.1
- SW-719 - Upgrade to H2O 3.18.0.1
- SW-720 - Fix parquet import test on external backend
Docs
- SW-697 - Final updates for Sparkling Water html output
- SW-698 - Update "Contributing" section in Sparkling Water

v2.1.21, v2.2.7 (2018-01-18)¶

Downloads:

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/7/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/21/index.html

Bug
- SW-273 - Remove workaround introduced by SW-272 for yarn/cluster mode
- SW-551 - Remove hotfix introduced by [SW-541] and implement proper fix
- SW-662 - Remove extra files that got into the repo
- SW-666 - Kill the cluster when a new executors joins in the internal backend
- SW-668 - Generate download link as part of the release notes
- SW-669 - Remove mentions of local-cluster in public docs
- SW-670 - Deprecated call in H2OContextInitDemo
- SW-671 - Fix jenkinsfile for builds again specific h2o branches
Improvement
- SW-674 - Update H2O to 3.16.0.4
- SW-675 - Tiny clean up of the release code
- SW-679 - Cleaner release script
- SW-680 - Ensure S3 in release pipeline does depend only on credentials provided from Jenkins
- SW-681 - Separate releasing on Github and Publishing artifacts

v2.1.20, v2.2.6 (2018-01-03)¶

Downloads:

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/6/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/20/index.html

Bug
- SW-627 - [PySparkling] calling as_spark_frame for the second time results in exception
- SW-630 - Fix ham or spam flow to reflect latest changes in pipelines
- SW-631 - Ensure that we do not access RDDs in pipelines ( to unblock the deployment)
- SW-646 - Fix incosistencies in ham or spam examples between scala and python
- SW-648 - Fix ham or spam pipeline tests
- SW-649 - Fix ham or spam tests for deeplearning pipeline
- SW-661 - Use always correct Spark version on the R download page
Improvement
- SW-608 - Measure time of conversions to H2OFrame in debug mode
- SW-612 - Port all arguments available to Scala ML to PySparkling ML
- SW-617 - Support for exporting mojo to hdfs
- SW-632 - Dump full spark configuration during H2OContext.getOrCreate into DEBUG
- SW-635 - Fix wrong instruction at PySparkling download page
- SW-637 - Create new DataFrame with new schema when it actually contain any dot in names
- SW-638 - Port release script into the sw repo
- SW-639 - Use persist layer for exportPOJOModel
- SW-640 - export H2OMOJOMOdel.createFromMOJO to pysparkling
- SW-642 - Create test for mojo predictions in PySparkling
- SW-643 - Add tests for H2ODeeplearning in Scala and Python and Fix potential problems
- SW-644 - Log spark configuration to INFO level
- SW-650 - Upgrade Gradle to 4.4.1
- SW-656 - Upgrade ShadowJar to 2.0.2

v2.1.19, v2.2.5 (2017-12-11)¶

Downloads:

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/5/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/19/index.html

Bug
- SW-615 - pysparkling.__version__ returns incorrectly ‘SUBST_PROJECT_VERSION’
- SW-616 - PySparkling fails on python 3.6 because long time does not exist in python 3.6
- SW-621 - PySParkling failing on Python3.6
- SW-624 - Python build does not support H2O_PYTHON_WHEEL when building against h2o older then 3.16.0.1
- SW-628 - PySparkling fails when installed from pypi
Improvement
- SW-626 - Upgrade Gradle to 4.4

v2.1.18, v2.2.4 (2017-12-01)¶

Downloads:

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/4/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/18/index.html

Bug
- SW-602 - conversion of sparse data DataFrame to H2OFrame is slow
- SW-620 - Fix obtaining version from bundled h2o inside pysparkling
Improvement
- SW-613 - Append dynamic allocation option into SW tuning documentation.
- SW-618 - Integration with H2O 3.16.0.2

v2.1.17, v2.2.3 (2017-11-25)¶

Downloads:

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/3/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/17/index.html

Bug
- SW-320 - H2OConfTest Python test blocks test run
- SW-499 - BinaryType handling is not implemented in SparkDataFrameConverter
- SW-535 - asH2OFrame gives error if column names have DOT in it
- SW-547 - Don’t use md5skip in external mode
- SW-569 - pysparkling: h2o on exit does not shut down cleanly
- SW-572 - Additional fix for [SW-571]
- SW-573 - Minor Gradle build improvements and fixes
- SW-575 - Incorrect comment in hamOrSpamMojo pipeline
- SW-576 - Cleanup pysparkling test infrastructure
- SW-577 - Fix conditions in jenkins file
- SW-580 - Fix composite build in Jenkins
- SW-581 - Fix H2OConf test on external cluster
- SW-582 - Opening Chicago Crime Demo Notebook errors on the first opening
- SW-584 - Create extended directory automatically
- SW-588 - Fix links in README
- SW-589 - Wrap stages in try finally in jenkins file
- SW-592 - Properly pass all parameters to algorithm
- SW-593 - H2Conf cannot be initialized on windows
- SW-594 - Gradle ml submodule reports success even though tests fail
- SW-595 - Fix ML tests
New Feature
- SW-519 - Introduce SW Models into Spark python pipelines
Task
- SW-609 - Upgrade H2O dependency to 3.16.0.1
Improvement
- SW-318 - Keep H2O version inside sparklin-water-core.jar and provide utility to query it
- SW-420 - Shell scripts miss-leading error message
- SW-504 - Provides Sparkling Water Spark Uber package which can be used in –packages
- SW-570 - Stop previous jobs in jenkins in case of PR
- SW-571 - In PySparkling, getOrCreate(spark) still incorrectly complains that we should use spark session
- SW-583 - Upgrade to Gradle 4.3
- SW-585 - Add the custom commit status for internal and external pipelines
- SW-586 - [ML] Remove some duplicities, enable mojo for deep learning
- SW-590 - Replace deprecated method call in ChicagoCrime python example
- SW-591 - Repl doesn’t require H2O dependencies to compile
- SW-596 - Minor build improvements
- SW-603 - Upgrade Gradle to 4.3.1
- SW-605 - addFiles doesn’t accept sparkSession
- SW-610 - Change default client mode to INFO, let user to change it at runtime

v2.1.16, v2.2.2 (2017-10-23)¶

Downloads:

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/2/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/16/index.html

Bug
- SW-555 - Fix documentation issue in PySparkling
- SW-558 - Increase default value for client connection retry timeout in
- SW-560 - SW documentation for nthreads is inconsistent with code
- SW-561 - Fix reporting artefacts in Jenkins and remove use of h2o-3-shared-lib
- SW-564 - Clean test workspace in jenkins
- SW-565 - Fix creation of extended jar in jenkins
- SW-567 - Fix failing tests on external backend
- SW-568 - Remove obsolete and failing idea configuration
- SW-559 - GLM fails to build model when weights are specified
Improvement
- SW-557 - Create 2 jenkins files ( for internal and external backend ) backed by configurable pipeline
- SW-562 - Disable web on external H2O nodes in external cluster mode
- SW-563 - In external cluster mode, print also YARN job ID of the external cluster once context is available
- SW-566 - Upgrade H2O to 3.14.0.7
- SW-553 - Improve handling of sparse vectors in internal cluster

v2.1.15, v2.2.1 (2017-10-10)¶

Downloads:

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/1/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/15/index.html

Bug
- SW-423 - Tests of External Cluster mode fails
- SW-516 - External cluster improperly convert RDD[ml.linalg.Vector]
- SW-525 - Don’t use GPU nodes for sparkling water testing in Jenkins
- SW-526 - Add missing when clause to scripts test stage in Jenkinsfile
- SW-527 - Use dX cluster for Jenkins testing
- SW-529 - Code defect in Scala example
- SW-531 - Use code which is compatible between Scala 2.10 and 2.11
- SW-532 - Make auto mode in external cluster default for tests in jenkins
- SW-534 - Ensure that all tests run on both, internal and external backends
- SW-536 - Allow to test sparkling water against specific h2o branch
- SW-537 - Update Gradle to 4.2RC2
- SW-538 - Fix problem in Jenkinsfile where H2O_HOME has higher priority then H2O_PYTHON_WHEEL
- SW-539 - Fix PySparkling issue when running multiple times on the same node
- SW-541 - Model training hangs in SW
- SW-542 - sw does not support parquet import
- SW-552 - Fix documentation bug
New Feature
- SW-521 - Fix typo in documentation
- SW-523 - Use linux label to determine which nodes are used for Jenkins testing
- SW-533 - In external cluster, remove notification file at the end. This affects nothing, it is just cleanup.
Improvement
- SW-543 - Upgrade Gradle to 4.2
- SW-544 - Improve exception in ExternalH2OBackend
- SW-545 - Stop H2O in afterAll in tests
- SW-546 - Add sw version to name of h2odriver obtained using get-extended-h2o script
- SW-549 - Upgrade gradle to 4.2.1
- SW-550 - Upgrade H2O to 3.14.0.6

v2.1.14, v2.2.0 (2017-08-23)¶

Downloads:

for Spark 2.2: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.2/0/index.html

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/14/index.html

Bug
- SW-449 - Support Sparse Data during spark-h2o conversions
- SW-510 - The link Demo Example from Git is broken on the download page
New Feature
- SW-481 - MOJO for Spark SVM
Improvement
- SW-514 - Upgrade H2O to 3.14.0.2
- SW-395 - bin/sparkling-shell should fail if assembly jar file does not exist
- SW-471 - Use mojo in pipelines if possible, remove H2OPipeline and OneTimeTransformers
- SW-512 - Make JenkinsFile up-to-date with sparkling_yarn_branch
- SW-513 - Upgrade to Gradle 4.1

v2.1.13 (2017-08-02)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/13/index.html

Bug
- SW-501 - Security Bug when using Security.enableSSL(spark)
- SW-505 - Travis build is failing on missing OracleJdk7
Improvement
- SW-355 - Include H2O R client distribution in Sparkling Water binary
- SW-500 - Warehouse dir does not have to be set in tests on Spark from 2.1+
- SW-506 - Documentation for the backends should mention get-extended-h2o.sh instead of manual jar extending
- SW-507 - Upgrade to Gradle 4.0.2
- SW-508 - More robust get-extended-h2o.sh
- SW-509 - Add back DEVEL.md and CHANGELOG.md and redirect to new versions

v2.1.12 (2017-07-17)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/12/index.html

Improvement
- SW-490 - Upgrade Gradle to 4.0.1
- SW-491 - Increase default value for Write and Read confirmation timeout
- SW-492 - Remove dead code and deprecation warning in tests
- SW-493 - Enforce Scala Style rules
- SW-494 - Remove hard dependency on RequestServer by using RestApiContext
- SW-496 - Remove ignored empty “H2OFrame[Time] to DataFrame[TimeStamp]” test
- SW-498 - Upgrade H2O to 3.10.5.4

v2.1.11 (2017-07-12)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/11/index.html

Bug
- SW-407 - Make scala H2OConf consistent and allow to set and get all propertties
Improvement
- SW-485 - Update instructions for a new PYPI.org
- SW-489 - Upgrade H2O to 3.10.5.3

v2.1.10 (2017-06-29)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/10/index.html

Bug
- SW-469 - Remove accidentally added kerb.conf file
- SW-470 - Allow to pask sparkSession to Security.enableSSL and deprecate sparkContext
- SW-474 - Use deprecated HTTPClient as some CDH versions does not have the new method
- SW-475 - Handle duke library in case it’s loaded using –packages
- SW-479 - Fix CHANGELOG location in make-dist.sh
Improvement
- SW-457 - Clean up windows scripts
- SW-466 - Separate Devel.md into multiple rst files
- SW-472 - Convert to rst README in gradle dir
- SW-473 - Upgrade to gradle 4.0
- SW-477 - Upgrade H2O to 3.10.5.2
- SW-480 - Bring back publishToMavenLocal task
- SW-482 - Updates to change log location
- SW-483 - Make rel-2.1 changelog consistent and also rst

v2.1.9 (2017-06-15)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/9/index.html

Technical task
- SW-211 - In PySparkling for spark 2.0 document how to build the package
Bug
- SW-448 - Add missing jar into the assembly
- SW-450 - Fix instructions on the download site
- SW-453 - Use size method to get attr num
- SW-454 - Replace sparkSession with spark in backends documentation
- SW-456 - Make shell scripts safe
- SW-459 - Update PySparkling run-time dependencies
- SW-461 - Fix wrong getters and setters in pysparkling
- SW-467 - Fix typo in the FAQ documentation
- SW-468 - Fix make-dist
New Feature
- SW-455 - Replace the remaining references to egg files
Improvement
- SW-24 - Append tab on Sparkling Water download page - how to use Sparkling Water package
- SW-111 - Update FAQ with information about hive metastore location
- SW-112 - Sparkling Water Tunning doc: add heartbeat dcoumentation
- SW-311 - Please report Application Type to Yarn Resource Manager
- SW-340 - Improve structure of SW README
- SW-426 - Allow to download sparkling water logs from the spark UI
- SW-444 - Remove references to Spark 1.5, 1.4 ( as it’s old ) in README.rst and other docs
- SW-447 - Upgrade H2O to 3.10.5.1
- SW-452 - Add missing spaces after “,” in H2OContextImplicits
- SW-460 - Allow to configure flow dir location in SW
- SW-463 - Extract sparkling water configuration to extra doc in rst format
- SW-465 - Mark tensorflow demo as experimental

v2.1.8 (2017-05-25)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/8/index.html

Bug
- SW-263 - Cannot run build in parallel because of Python module
- SW-336 - Wrong documentation of PyPi h2o_pysparkling_2.0 package
- SW-430 - pysparkling: adding a column to a data frame does not work when parse the original frame in spark
- SW-431 - Allow to pass additional arguments to run-python-script.sh
- SW-436 - Fix getting of sparkling water jar in pysparkling
- SW-437 - Don’t call atexit in case of pysparkling in cluster deploy mode
- SW-438 - store h2o logs int unique directories
- SW-439 - handle interrupted exception in H2ORuntimeInfoUIThread
- SW-335 - Cannot install pysparkling from PyPi
Improvement
- SW-445 - Remove information from README.pst that pip cannot be used
- SW-341 - Support Python 3 distribution
- SW-380 - Define Jenkins pipeline via Jenkinsfile
- SW-433 - Add change logs link to the sw download page
- SW-435 - Upgrade shadow jar plugin to 2.0.0
- SW-440 - Sparkling Water cluster name should contain spark app id instead of random number
- SW-441 - Replace deprecated DefaultHTTPClient in AnnouncementService
- SW-442 - Get array size from metadata in case of ml.lilang.VectorUDT
- SW-443 - Upgrade H2O version to 3.10.4.8

v2.1.7 (2017-05-10)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/7/index.html

Bug
- SW-429 - Different cluster name between client and h2o nodes in case of external cluster

v2.1.6 (2017-05-09)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/6/index.html

Improvement
- SW-424 - Add SW tab in Spark History Server
- SW-427 - Upgrade H2O dependency to 3.10.4.7

v2.1.5 (2017-04-27)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/5/index.html

Bug
- SW-421 - Externar cluster: Job is reporting exit status as FAILED even all mappers return 0
Improvement
- SW-422 - Upgrade H2O dependency to 3.10.4.6

v2.1.4 (2017-04-20)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/4/index.html

Bug
- SW-65 - Add pysparkling instruction to download page
- SW-365 - Properexit status handling of external cluster
- SW-398 - Usetimeout for read/write confirmation in external cluster mode
- SW-400 - Fix stopping of H2OContext in case of running standalone application
- SW-401 - Add configuration property to external backend allowing to specify the maximal timeout the cloud will wait for watchdog client to connect
- SW-405 - Use correct quote in backend documentation
- SW-408 - Use kwargs for h2o.connect in pysparkling
- SW-409 - Fix stopping of python tests
- SW-410 - Honor –core Spark settings in H2O executors
Improvement
- SW-231 - Sparkling Water download page is missing PySParkling/RSparkling info
- SW-404 - Upgrade H2O dependency to 3.10.4.4
- SW-406 - Download page should list available jars for external cluster.
- SW-411 - Migrate Pysparkling tests and examples to SparkSession
- SW-412 - Upgrade H2O dependency to 3.10.4.5

v2.1.3 (2017-04-7)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/3/index.html

Bug
- SW-334 - as_factor() ‘corrupts’ dataframe if it fails
- SW-353 - Kerberos for SW not loading JAAS module
- SW-364 - Repl session not set on scala 2.11
- SW-368 - bin/pysparkling.cmd is missing
- SW-371 - Fix MarkDown syntax
- SW-372 - Run negative test for PUBDEV-3808 multiple times to observe failure
- SW-375 - Documentation fix in external cluster manual
- SW-376 - Tests for DecimalType and DataType fail on external backend
- SW-377 - Implement stopping of external H2O cluster in external backend mode
- SW-383 - Update PySparkling README with info about SW-335 and using SW from Pypi
- SW-385 - Fix residual plot R code generator
- SW-386 - SW REPL cannot be used in combination with Spark Dataset
- SW-387 - Fix typo in setClientIp method
- SW-388 - Stop h2o when running inside standalone pysparkling job
- SW-389 - Extending h2o jar from SW doesn’t work when the jar is already downloaded
- SW-392 - Python in gradle is using wrong python - it doesn’t respect the PATH variable
- SW-393 - Allow to specify timeout for h2o cloud up in external backend mode
- SW-394 - Allow to specify log level to external h2o cluster
- SW-396 - Create setter in pysparkling conf for h2o client log level
- SW-397 - Better error message covering the most often case when cluster info file doesn’t exist
Improvement
- SW-296 - H2OConf remove nulls and make it more Scala-like
- SW-367 - Add task to Gradle build which prints all available Hadoop distributions for the corresponding h2o
- SW-382 - Upgrade of H2O dependency to 3.10.4.3

v2.1.2 (2017-03-20)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/2/index.html

Bug
- SW-361 - Flow is not available in Sparkling Water
- SW-362 - PySparkling does not work
Improvement
- SW-344 - Use Spark public DNS if available to report Flow UI

v2.1.1 (2017-03-18)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/1/index.html

Bug
- SW-308 - Intermittent failure in creating H2O cloud
- SW-321 - composite function fail when inner cbind()
- SW-342 - Environment detection does not work with Spark2.1
- SW-347 - Cannot start Sparkling Water at HDP Yarn cluster
- SW-349 - Sparkling Shell scripts for Windows do not work
- SW-350 - Fix command line environment for Windows
- SW-357 - PySparkling in Zeppelin environment using wrong class loader
Improvement
- SW-333 - ApplicationMaster info in Yarn for external cluster
- SW-337 - Use h2o.connect in PySpark to connect to H2O cluster
- SW-345 - Create configuration manual for External cluster
- SW-356 - Improve documentation for spark.ext.h2o.fail.on.unsupported.spark.param
- SW-360 - Upgrade H2O dependency to 3.10.4.2

v2.1.0 (2017-03-02)¶

Downloads:

for Spark 2.1: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/0/index.html

Bug
- SW-331 - Security.enableSSL does not work
Improvement
- SW-302 - Support Spark 2.1.0
- SW-325 - Implement a generic announcement mechanism
- SW-326 - Add support to Spark 2.1 in Sparkling Water
- SW-327 - Enrich Spark UI with Sparkling Water specific tab