Saveable (Spark 4.0.0 JavaDoc) (original) (raw)

All Known Implementing Classes:

[BisectingKMeansModel](../clustering/BisectingKMeansModel.html "class in org.apache.spark.mllib.clustering"), [ChiSqSelectorModel](../feature/ChiSqSelectorModel.html "class in org.apache.spark.mllib.feature"), [DecisionTreeModel](../tree/model/DecisionTreeModel.html "class in org.apache.spark.mllib.tree.model"), [DistributedLDAModel](../clustering/DistributedLDAModel.html "class in org.apache.spark.mllib.clustering"), [FPGrowthModel](../fpm/FPGrowthModel.html "class in org.apache.spark.mllib.fpm"), [GaussianMixtureModel](../clustering/GaussianMixtureModel.html "class in org.apache.spark.mllib.clustering"), [GradientBoostedTreesModel](../tree/model/GradientBoostedTreesModel.html "class in org.apache.spark.mllib.tree.model"), [IsotonicRegressionModel](../regression/IsotonicRegressionModel.html "class in org.apache.spark.mllib.regression"), [KMeansModel](../clustering/KMeansModel.html "class in org.apache.spark.mllib.clustering"), [LassoModel](../regression/LassoModel.html "class in org.apache.spark.mllib.regression"), [LDAModel](../clustering/LDAModel.html "class in org.apache.spark.mllib.clustering"), [LinearRegressionModel](../regression/LinearRegressionModel.html "class in org.apache.spark.mllib.regression"), [LocalLDAModel](../clustering/LocalLDAModel.html "class in org.apache.spark.mllib.clustering"), [LogisticRegressionModel](../classification/LogisticRegressionModel.html "class in org.apache.spark.mllib.classification"), [MatrixFactorizationModel](../recommendation/MatrixFactorizationModel.html "class in org.apache.spark.mllib.recommendation"), [NaiveBayesModel](../classification/NaiveBayesModel.html "class in org.apache.spark.mllib.classification"), [PowerIterationClusteringModel](../clustering/PowerIterationClusteringModel.html "class in org.apache.spark.mllib.clustering"), [PrefixSpanModel](../fpm/PrefixSpanModel.html "class in org.apache.spark.mllib.fpm"), [RandomForestModel](../tree/model/RandomForestModel.html "class in org.apache.spark.mllib.tree.model"), [RidgeRegressionModel](../regression/RidgeRegressionModel.html "class in org.apache.spark.mllib.regression"), [StreamingKMeansModel](../clustering/StreamingKMeansModel.html "class in org.apache.spark.mllib.clustering"), [SVMModel](../classification/SVMModel.html "class in org.apache.spark.mllib.classification"), [Word2VecModel](../feature/Word2VecModel.html "class in org.apache.spark.mllib.feature")

public interface Saveable

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

• Method Summary

void
Save this model to the given path.

• Method Details

  • save

  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.