:: AlphaComponent :: Abstract class for estimators that fit models to data.
:: AlphaComponent :: Abstract class for estimators that fit models to data.
:: AlphaComponent :: Abstract class for evaluators that compute metrics from predictions.
:: AlphaComponent :: Abstract class for evaluators that compute metrics from predictions.
:: AlphaComponent :: A fitted model, i.e., a Transformer produced by an Estimator.
:: AlphaComponent :: A fitted model, i.e., a Transformer produced by an Estimator.
model type
:: AlphaComponent :: A simple pipeline, which acts as an estimator.
:: AlphaComponent :: A simple pipeline, which acts as an estimator. A Pipeline consists of a sequence of stages, each of which is either an Estimator or a Transformer. When Pipeline.fit is called, the stages are executed in order. If a stage is an Estimator, its Estimator.fit method will be called on the input dataset to fit a model. Then the model, which is a transformer, will be used to transform the dataset as the input to the next stage. If a stage is a Transformer, its Transformer.transform method will be called to produce the dataset for the next stage. The fitted model from a Pipeline is an PipelineModel, which consists of fitted models and transformers, corresponding to the pipeline stages. If there are no stages, the pipeline acts as an identity transformer.
:: AlphaComponent :: Represents a compiled pipeline.
:: AlphaComponent :: Represents a compiled pipeline.
:: AlphaComponent :: A stage in a pipeline, either an Estimator or a Transformer.
:: AlphaComponent :: A stage in a pipeline, either an Estimator or a Transformer.
:: AlphaComponent :: Abstract class for transformers that transform one dataset into another.
:: AlphaComponent :: Abstract class for transformers that transform one dataset into another.
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.