Package org.apache.spark.ml

Spark ML is an ALPHA component that adds a new set of machine learning APIs to let users quickly assemble and configure practical machine learning pipelines.

See: Description

Interface Summary

Interface	Description
Identifiable	Object with a unique id.

Class Summary

Class	Description
Estimator<M extends Model<M>>	:: AlphaComponent :: Abstract class for estimators that fit models to data.
Evaluator	:: AlphaComponent :: Abstract class for evaluators that compute metrics from predictions.
Model<M extends Model<M>>	:: AlphaComponent :: A fitted model, i.e., a Transformer produced by an Estimator.
Pipeline	:: AlphaComponent :: A simple pipeline, which acts as an estimator.
PipelineModel	:: AlphaComponent :: Represents a compiled pipeline.
PipelineStage	:: AlphaComponent :: A stage in a pipeline, either an Estimator or a Transformer.
Transformer	:: AlphaComponent :: Abstract class for transformers that transform one dataset into another.
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.

Package org.apache.spark.ml Description

Spark ML is an ALPHA component that adds a new set of machine learning APIs to let users quickly assemble and configure practical machine learning pipelines.