org.apache.spark.ml.util

Interface DefaultParamsWritable

All Superinterfaces:

MLWritable

All Known Implementing Classes:

AFTSurvivalRegression, ALS, Binarizer, BinaryClassificationEvaluator, BisectingKMeans, BucketedRandomProjectionLSH, Bucketizer, ChiSqSelector, CountVectorizer, DCT, DecisionTreeClassifier, DecisionTreeRegressor, ElementwiseProduct, GaussianMixture, GBTClassifier, GBTRegressor, GeneralizedLinearRegression, HashingTF, IDF, IndexToString, Interaction, IsotonicRegression, KMeans, LDA, LinearRegression, LogisticRegression, MaxAbsScaler, MinHashLSH, MinMaxScaler, MulticlassClassificationEvaluator, MultilayerPerceptronClassifier, NaiveBayes, NGram, Normalizer, OneHotEncoder, PCA, PolynomialExpansion, QuantileDiscretizer, RandomForestClassifier, RandomForestRegressor, RegexTokenizer, RegressionEvaluator, RFormula, SQLTransformer, StandardScaler, StopWordsRemover, StringIndexer, Tokenizer, VectorAssembler, VectorIndexer, VectorSlicer, Word2Vec

public interface DefaultParamsWritable
extends MLWritable

:: DeveloperApi ::

Helper trait for making simple Params types writable. If a Params class stores all data as Param values, then extending this trait will provide a default implementation of writing saved instances of the class. This only handles simple Param types; e.g., it will not handle Dataset.

See Also:

DefaultParamsReadable, the counterpart to this trait

Method Summary

Methods

Modifier and Type	Method and Description
MLWriter	write() Returns an MLWriter instance for this ML instance.

Methods inherited from interface org.apache.spark.ml.util.MLWritable

save

Method Detail

write

MLWriter write()

Description copied from interface: MLWritable

Returns an MLWriter instance for this ML instance.

Specified by:

write in interface MLWritable

Returns:

(undocumented)