Packages

t

org.apache.spark.ml.util

DefaultParamsWritable

trait DefaultParamsWritable extends MLWritable

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
Source
ReadWrite.scala
See also

DefaultParamsReadable, the counterpart to this trait

Linear Supertypes
MLWritable, AnyRef, Any
Known Subclasses
DecisionTreeClassifier, FMClassifier, GBTClassifier, LinearSVC, LogisticRegression, MultilayerPerceptronClassifier, NaiveBayes, RandomForestClassifier, BisectingKMeans, GaussianMixture, KMeans, LDA, PowerIterationClustering, BinaryClassificationEvaluator, ClusteringEvaluator, MulticlassClassificationEvaluator, MultilabelClassificationEvaluator, RankingEvaluator, RegressionEvaluator, Binarizer, Bucketizer, CountVectorizer, DCT, ElementwiseProduct, FeatureHasher, HashingTF, IDF, Imputer, IndexToString, Interaction, MaxAbsScaler, MinMaxScaler, NGram, Normalizer, OneHotEncoder, PCA, PolynomialExpansion, QuantileDiscretizer, RFormula, RegexTokenizer, RobustScaler, SQLTransformer, StandardScaler, StopWordsRemover, StringIndexer, TargetEncoder, Tokenizer, UnivariateFeatureSelector, VarianceThresholdSelector, VectorAssembler, VectorIndexer, VectorSizeHint, VectorSlicer, Word2Vec, FPGrowth, ALS, AFTSurvivalRegression, DecisionTreeRegressor, FMRegressor, GBTRegressor, GeneralizedLinearRegression, IsotonicRegression, LinearRegression, RandomForestRegressor
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Inherited
  1. DefaultParamsWritable
  2. MLWritable
  3. AnyRef
  4. Any
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Visibility
  1. Public
  2. Protected

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##: Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @IntrinsicCandidate() @native()
  6. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  7. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  8. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @IntrinsicCandidate() @native()
  9. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @IntrinsicCandidate() @native()
  10. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  11. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  12. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @IntrinsicCandidate() @native()
  13. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @IntrinsicCandidate() @native()
  14. def save(path: String): Unit

    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("If the input path already exists but overwrite is not enabled.")
  15. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  16. def toString(): String
    Definition Classes
    AnyRef → Any
  17. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  18. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  19. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  20. def write: MLWriter

    Returns an MLWriter instance for this ML instance.

    Returns an MLWriter instance for this ML instance.

    Definition Classes
    DefaultParamsWritable → MLWritable

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable]) @Deprecated
    Deprecated

    (Since version 9)

Inherited from MLWritable

Inherited from AnyRef

Inherited from Any

Members