See: Description
Interface | Description |
---|---|
MLEvent |
Event emitted by ML operations.
|
MLEvents |
A small trait that defines some methods to send
MLEvent . |
PredictorParams |
(private[ml]) Trait for parameters for prediction (regression and classification).
|
Class | Description |
---|---|
Estimator<M extends Model<M>> |
Abstract class for estimators that fit models to data.
|
FitEnd<M extends Model<M>> |
Event fired after
Estimator.fit . |
FitStart<M extends Model<M>> |
Event fired before
Estimator.fit . |
functions | |
LoadInstanceEnd<T> |
Event fired after
MLReader.load . |
LoadInstanceStart<T> |
Event fired before
MLReader.load . |
Model<M extends Model<M>> |
A fitted model, i.e., a
Transformer produced by an Estimator . |
Pipeline |
A simple pipeline, which acts as an estimator.
|
Pipeline.SharedReadWrite$ | |
PipelineModel |
Represents a fitted pipeline.
|
PipelineStage |
A stage in a pipeline, either an
Estimator or a Transformer . |
PredictionModel<FeaturesType,M extends PredictionModel<FeaturesType,M>> |
Abstraction for a model for prediction tasks (regression and classification).
|
Predictor<FeaturesType,Learner extends Predictor<FeaturesType,Learner,M>,M extends PredictionModel<FeaturesType,M>> |
Abstraction for prediction problems (regression and classification).
|
SaveInstanceEnd |
Event fired after
MLWriter.save . |
SaveInstanceStart |
Event fired before
MLWriter.save . |
TransformEnd |
Event fired after
Transformer.transform . |
Transformer |
Abstract class for transformers that transform one dataset into another.
|
TransformStart |
Event fired before
Transformer.transform . |
UnaryTransformer<IN,OUT,T extends UnaryTransformer<IN,OUT,T>> |
Abstract class for transformers that take one input column, apply transformation, and output the
result as a new column.
|