Trait

org.apache.spark.ml.util

DefaultParamsWritable

Related Doc: package util

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trait DefaultParamsWritable extends MLWritable

:: DeveloperApi ::

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

Self Type
DefaultParamsWritable with Params
Annotations
@DeveloperApi()
See also

DefaultParamsReadable, the counterpart to this trait

Linear Supertypes
MLWritable, AnyRef, Any
Known Subclasses
AFTSurvivalRegression, ALS, Binarizer, BinaryClassificationEvaluator, BisectingKMeans, Bucketizer, ChiSqSelector, CountVectorizer, DCT, DecisionTreeClassifier, DecisionTreeRegressor, ElementwiseProduct, GBTClassifier, GBTRegressor, GaussianMixture, GeneralizedLinearRegression, HashingTF, IDF, IndexToString, Interaction, IsotonicRegression, KMeans, LDA, LinearRegression, LogisticRegression, MaxAbsScaler, MinMaxScaler, MulticlassClassificationEvaluator, MultilayerPerceptronClassifier, MyTransformer, NGram, NaiveBayes, Normalizer, OneHotEncoder, PCA, PolynomialExpansion, QuantileDiscretizer, RFormula, RandomForestClassifier, RandomForestRegressor, RegexTokenizer, RegressionEvaluator, SQLTransformer, StandardScaler, StopWordsRemover, StringIndexer, Tokenizer, VectorAssembler, VectorIndexer, VectorSlicer, Word2Vec
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  1. DefaultParamsWritable
  2. MLWritable
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  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).

    Definition Classes
    MLWritable
    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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  21. def write: MLWriter

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    Returns an MLWriter instance for this ML instance.

    Returns an MLWriter instance for this ML instance.

    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from MLWritable

Inherited from AnyRef

Inherited from Any

Members