Class

org.apache.spark.ml.util

MLReader

Related Doc: package util

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abstract class MLReader[T] extends BaseReadWrite

Abstract class for utility classes that can load ML instances.

T

ML instance type

Annotations
@Since( "1.6.0" )
Source
ReadWrite.scala
Linear Supertypes
BaseReadWrite, AnyRef, Any
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Inherited
  1. MLReader
  2. BaseReadWrite
  3. AnyRef
  4. Any
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Visibility
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Instance Constructors

  1. new MLReader()

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Abstract Value Members

  1. abstract def load(path: String): T

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    Loads the ML component from the input path.

    Loads the ML component from the input path.

    Annotations
    @Since( "1.6.0" )

Concrete Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef

  7. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  8. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

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

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    Definition Classes
    AnyRef → Any

  10. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  11. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    AnyRef

  13. final def notify(): Unit

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    Definition Classes
    AnyRef

  14. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  15. final def sc: SparkContext

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    Returns the underlying SparkContext.

    Returns the underlying SparkContext.

    Attributes
    protected
    Definition Classes
    BaseReadWrite

  16. def session(sparkSession: SparkSession): MLReader.this.type

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    Sets the Spark Session to use for saving/loading.

    Sets the Spark Session to use for saving/loading.

    Definition Classes
    MLReader → BaseReadWrite

  17. final def sparkSession: SparkSession

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    Returns the user-specified Spark Session or the default.

    Returns the user-specified Spark Session or the default.

    Attributes
    protected
    Definition Classes
    BaseReadWrite

  18. final def sqlContext: SQLContext

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    Returns the user-specified SQL context or the default.

    Returns the user-specified SQL context or the default.

    Attributes
    protected
    Definition Classes
    BaseReadWrite

  19. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef

  20. def toString(): String

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    Definition Classes
    AnyRef → Any

  21. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Deprecated Value Members

  1. def context(sqlContext: SQLContext): MLReader.this.type

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    Sets the Spark SQLContext to use for saving/loading.

    Sets the Spark SQLContext to use for saving/loading.

    Definition Classes
    MLReader → BaseReadWrite
    Deprecated

    Use session instead. This method will be removed in 3.0.0.

Inherited from BaseReadWrite

Inherited from AnyRef

Inherited from Any

Members