Saveable

class pyspark.mllib.util.Saveable

Mixin for models and transformers which may be saved as files.

New in version 1.3.0.

Methods

save(sc, path)

Save this model to the given path.

Methods Documentation

save(sc: pyspark.context.SparkContext, path: str) → None

Save this model to the given path.

This saves:

• human-readable (JSON) model metadata to path/metadata/

• Parquet formatted data to path/data/

The model may be loaded using Loader.load().

Parameters

scpyspark.SparkContext

Spark context used to save model data.

pathstr

Path specifying the directory in which to save this model. If the directory already exists, this method throws an exception.

MLUtils Spark Core