3.9.1.3552
  • Welcome to H2O 3
  • H2O Architecture
  • Downloading H2O
  • Starting H2O
  • EC2 Instances & S3 storage
  • Using H2O on Hadoop
  • Using H2O with Docker
  • Data Manipulation
    • Importing Data
    • Uploading Data
    • Merging Two Datasets
    • Combining Rows from Two Datasets
    • Combining Columns from Two Datasets
    • Slicing Rows
    • Slicing Columns
    • Replacing Values in a Frame
    • Splitting Datasets into Training/Testing/Validating
  • Using Flow - H2O’s Web UI
  • Data Science Algorithms
  • Cross-Validation
  • Grid Search (Hyperparameter Search) API
  • POJO Quick Start
  • Downloading Logs
  • Migrating to H2O 3
  • Security
  • FAQ
  • Glossary
  • Quick Start Videos
  • API Reference
H2O
  • Docs »
  • Data Manipulation
  • View page source

Data ManipulationΒΆ

This section provides examples of common tasks performed when preparing data for machine learning.

  • Importing Data
  • Uploading Data
  • Merging Two Datasets
  • Combining Rows from Two Datasets
  • Combining Columns from Two Datasets
  • Slicing Rows
  • Slicing Columns
  • Replacing Values in a Frame
  • Splitting Datasets into Training/Testing/Validating
Next Previous

© Copyright 2016 H2O, Inc. Last updated on Jul 16, 2016.

Built with Sphinx using a theme provided by Read the Docs.