| AUC2 |
One-pass approximate AUC
This algorithm can compute the AUC in 1-pass with good resolution.
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| AUC2.AUCBuilder |
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| AUUC |
Object to calculate uplift curve and area under uplift curve
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| AUUC.AUUCBuilder |
Builder to process input data to build histogram in parallel.
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| ClusteringModel<M extends ClusteringModel<M,P,O>,P extends ClusteringModel.ClusteringParameters,O extends ClusteringModel.ClusteringOutput> |
Clustering Model
Generates a 2-D array of clusters.
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| ClusteringModel.ClusteringOutput |
Output from all Clustering Models, includes generated clusters
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| ClusteringModel.ClusteringParameters |
Clustering Model Parameters includes the number of clusters desired
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| ClusteringModelBuilder<M extends ClusteringModel<M,P,O>,P extends ClusteringModel.ClusteringParameters,O extends ClusteringModel.ClusteringOutput> |
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| CMetricScoringTask<T extends CMetricScoringTask<T>> |
Custom metric scoring task.
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| ConfusionMatrix |
|
| CreateFrame |
Create a Frame from scratch
If randomize = true, then the frame is filled with Random values.
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| CustomMetric |
|
| CVModelBuilder |
Execute Cross-Validation model build in parallel
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| DelegatingPojoWriter |
|
| Distribution |
Distribution functions to be used by ML Algos
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| DistributionFactory |
Factory to get distribution based on Model.Parameters or DistributionFamily.
|
| DistributionFactory.LogExpUtil |
Util class to calculate log and exp function for distribution and link function identically
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| DMatrix |
Created by tomasnykodym on 11/13/14.
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| DMatrix.MatrixMulStats |
Info about matrix multiplication currently in progress.
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| DMatrix.MatrixMulTsk |
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| DMatrix.TransposeTsk |
(MR)Task performing the matrix transpose.
|
| FeatureInteraction |
|
| FeatureInteractions |
|
| FoldAssignment |
|
| FrameSplitter |
Frame splitter function to divide given frame into
multiple partitions based on given ratios.
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| GainsLift |
|
| GainsLift.GainsLiftBuilder |
|
| Interaction |
Create new factors that represent interactions of the given factors
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| KeyValue |
|
| LinkFunction |
Link function class to calculate link, link inverse and string link inverse functions.
|
| LinkFunctionFactory |
|
| MeanResidualDeviance |
|
| MeanResidualDeviance.MeanResidualBuilder |
|
| Model<M extends Model<M,P,O>,P extends Model.Parameters,O extends Model.Output> |
A Model models reality (hopefully).
|
| Model.Contributions.ContributionsOptions |
|
| Model.GridSortBy |
|
| Model.InteractionPair |
This class represents a pair of interacting columns plus some additional data
about specific enums to be interacted when the vecs are categorical.
|
| Model.InteractionSpec |
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| Model.JavaScoringOptions |
|
| Model.Output |
Model-specific output class.
|
| Model.Parameters |
Model-specific parameter class.
|
| Model.UpdateAuxTreeWeights.UpdateAuxTreeWeightsReport |
|
| ModelBuilder<M extends Model<M,P,O>,P extends Model.Parameters,O extends Model.Output> |
Model builder parent class.
|
| ModelBuilder.ValidationMessage |
Can be an ERROR, meaning the parameters can't be used as-is,
a TRACE, which means the specified field should be hidden given
the values of other fields, or a WARN or INFO for informative
messages to the user.
|
| ModelBuilderHelper |
|
| ModelBuilderListener<D extends Iced> |
|
| ModelMetricHGLMGaussianGaussianGeneric |
|
| ModelMetrics |
Container to hold the metric for a model as scored on a specific frame.
|
| ModelMetrics.MetricBuilder<T extends ModelMetrics.MetricBuilder<T>> |
Class used to compute AUCs, CMs & HRs "on the fly" during other passes
over Big Data.
|
| ModelMetricsAutoEncoder |
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| ModelMetricsAutoEncoder.MetricBuilderAutoEncoder |
|
| ModelMetricsBinomial |
|
| ModelMetricsBinomial.MetricBuilderBinomial<T extends ModelMetricsBinomial.MetricBuilderBinomial<T>> |
|
| ModelMetricsBinomialGeneric |
|
| ModelMetricsBinomialGLM |
|
| ModelMetricsBinomialGLM.ModelMetricsMultinomialGLM |
|
| ModelMetricsBinomialGLM.ModelMetricsOrdinalGLM |
|
| ModelMetricsBinomialGLMGeneric |
|
| ModelMetricsBinomialUplift |
|
| ModelMetricsBinomialUplift.MetricBuilderBinomialUplift |
|
| ModelMetricsClustering |
|
| ModelMetricsClustering.MetricBuilderClustering |
|
| ModelMetricsHGLM |
|
| ModelMetricsHGLM.MetricBuilderHGLM<T extends ModelMetricsHGLM.MetricBuilderHGLM<T>> |
|
| ModelMetricsHGLMGaussianGaussian |
|
| ModelMetricsHGLMGeneric |
|
| ModelMetricsMultinomial |
|
| ModelMetricsMultinomial.MetricBuilderMultinomial<T extends ModelMetricsMultinomial.MetricBuilderMultinomial<T>> |
|
| ModelMetricsMultinomialGeneric |
|
| ModelMetricsMultinomialGLMGeneric |
|
| ModelMetricsOrdinal |
|
| ModelMetricsOrdinal.MetricBuilderOrdinal<T extends ModelMetricsOrdinal.MetricBuilderOrdinal<T>> |
|
| ModelMetricsOrdinalGeneric |
|
| ModelMetricsOrdinalGLMGeneric |
|
| ModelMetricsRegression |
|
| ModelMetricsRegression.MetricBuilderRegression<T extends ModelMetricsRegression.MetricBuilderRegression<T>> |
|
| ModelMetricsRegressionCoxPH |
|
| ModelMetricsRegressionCoxPH.MetricBuilderRegressionCoxPH<T extends ModelMetricsRegressionCoxPH.MetricBuilderRegressionCoxPH<T>> |
|
| ModelMetricsRegressionCoxPHGeneric |
|
| ModelMetricsRegressionGeneric |
|
| ModelMetricsRegressionGLM |
Created by tomasnykodym on 4/20/15.
|
| ModelMetricsRegressionGLMGeneric |
|
| ModelMetricsSupervised |
|
| ModelMetricsSupervised.MetricBuilderSupervised<T extends ModelMetricsSupervised.MetricBuilderSupervised<T>> |
|
| ModelMetricsUnsupervised |
|
| ModelMetricsUnsupervised.MetricBuilderUnsupervised<T extends ModelMetricsUnsupervised.MetricBuilderUnsupervised<T>> |
|
| ModelMojoWriter<M extends Model<M,P,O>,P extends Model.Parameters,O extends Model.Output> |
Base class for serializing models into the MOJO format.
|
| ModelPreprocessor<T extends ModelPreprocessor> |
WARNING!
This is a temporary abstraction used to preprocess frames during training and scoring.
|
| ModelTrainingEventsPublisher |
|
| MultiModelMojoWriter<M extends Model<M,P,O>,P extends Model.Parameters,O extends Model.Output> |
|
| MultinomialAUC |
|
| ObjectConsistencyChecker |
|
| PairwiseAUC |
|
| ParallelModelBuilder |
Dispatcher for parallel model building.
|
| ParallelModelBuilder.ModelBuildFailure |
Contains all the necessary information after a model builder has failed to build the model
|
| ParallelModelBuilder.ParallelModelBuilderCallback<D extends ParallelModelBuilder.ParallelModelBuilderCallback> |
|
| PartialDependence |
|
| RegexTokenizer |
RegexTokenizer splits rows of a given Frame into delimited sequences of tokens using a regular expression.
|
| RegexTokenizer.Builder |
|
| ScoreKeeper |
Low-weight keeper of scores
solely intended for display (either direct or as helper to create scoring history TwoDimTable).
|
| ScoringInfo |
Lightweight scoring history snapshot, for things like displaying the scoring history.
|
| SplitFrame |
Split given frame based on given ratio.
|
| SplitFrame.Frames |
|
| SplitValueHistogram |
|
| StringPair |
|
| SubModelBuilder |
Execute build of a collection of sub-models (CV models, main model) in parallel
This class is conceptually similar to CVModelBuilder and follows the same API.
|
| Transformer<T extends Keyed> |
Representation of transformation from type X to Y.
|
| VarImp |
|