Trait

org.apache.spark.ml.util

MLWritable

Related Doc: package util

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trait MLWritable extends AnyRef

Trait for classes that provide MLWriter.

Annotations
@Since( "1.6.0" )
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Known Subclasses
AFTSurvivalRegression, AFTSurvivalRegressionModel, ALS, ALSModel, Binarizer, BinaryClassificationEvaluator, BisectingKMeans, BisectingKMeansModel, Bucketizer, ChiSqSelector, ChiSqSelectorModel, ClusteringEvaluator, CountVectorizer, CountVectorizerModel, CrossValidator, CrossValidatorModel, DCT, DecisionTreeClassificationModel, DecisionTreeClassifier, DecisionTreeRegressionModel, DecisionTreeRegressor, DefaultParamsWritable, DistributedLDAModel, ElementwiseProduct, FPGrowth, FPGrowthModel, FeatureHasher, GBTClassificationModel, GBTClassifier, GBTRegressionModel, GBTRegressor, GaussianMixture, GaussianMixtureModel, GeneralizedLinearRegression, GeneralizedLinearRegressionModel, HashingTF, IDF, IDFModel, Imputer, ImputerModel, IndexToString, Interaction, IsotonicRegression, IsotonicRegressionModel, KMeans, KMeansModel, LDA, LDAModel, LinearRegression, LinearRegressionModel, LinearSVC, LinearSVCModel, LocalLDAModel, LogisticRegression, LogisticRegressionModel, MaxAbsScaler, MaxAbsScalerModel, MinMaxScaler, MinMaxScalerModel, MulticlassClassificationEvaluator, MultilayerPerceptronClassificationModel, MultilayerPerceptronClassifier, NGram, NaiveBayes, NaiveBayesModel, Normalizer, OneHotEncoder, OneVsRest, OneVsRestModel, PCA, PCAModel, Pipeline, PipelineModel, PolynomialExpansion, QuantileDiscretizer, RFormula, RFormulaModel, RandomForestClassificationModel, RandomForestClassifier, RandomForestRegressionModel, RandomForestRegressor, RegexTokenizer, RegressionEvaluator, SQLTransformer, StandardScaler, StandardScalerModel, StopWordsRemover, StringIndexer, StringIndexerModel, Tokenizer, TrainValidationSplit, TrainValidationSplitModel, VectorAssembler, VectorIndexer, VectorIndexerModel, VectorSlicer, Word2Vec, Word2VecModel
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Inherited
  1. MLWritable
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Visibility
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Abstract Value Members

  1. abstract def write: MLWriter

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    Returns an MLWriter instance for this ML instance.

    Returns an MLWriter instance for this ML instance.

    Annotations
    @Since( "1.6.0" )

Concrete Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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  9. final def getClass(): Class[_]

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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  12. final def ne(arg0: AnyRef): Boolean

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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  15. def save(path: String): Unit

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    Saves this ML instance to the input path, a shortcut of write.save(path).

    Saves this ML instance to the input path, a shortcut of write.save(path).

    Annotations
    @Since( "1.6.0" ) @throws( ... )
  16. final def synchronized[T0](arg0: ⇒ T0): T0

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  17. def toString(): String

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  18. final def wait(): Unit

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  19. final def wait(arg0: Long, arg1: Int): Unit

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  20. final def wait(arg0: Long): Unit

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Inherited from AnyRef

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