org.apache.spark.mllib.util

Interface Saveable

All Known Implementing Classes:

BisectingKMeansModel, ChiSqSelectorModel, DecisionTreeModel, DistributedLDAModel, FPGrowthModel, GaussianMixtureModel, GradientBoostedTreesModel, IsotonicRegressionModel, KMeansModel, LassoModel, LDAModel, LinearRegressionModel, LocalLDAModel, LogisticRegressionModel, MatrixFactorizationModel, NaiveBayesModel, PowerIterationClusteringModel, PrefixSpanModel, RandomForestModel, RidgeRegressionModel, StreamingKMeansModel, SVMModel, Word2VecModel

public interface Saveable

:: DeveloperApi ::

Trait for models and transformers which may be saved as files. This should be inherited by the class which implements model instances.

Method Summary

Modifier and Type	Method and Description
String	formatVersion() Current version of model save/load format.
void	save(SparkContext sc, String path) Save this model to the given path.

Method Detail

save

void save(SparkContext sc,
          String path)

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:

sc - Spark context used to save model data.

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

formatVersion

String formatVersion()

Current version of model save/load format.