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

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    Definition Classes
    AnyRef
  8. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  9. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  10. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  11. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  12. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  13. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  14. final def notify(): Unit

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    Definition Classes
    AnyRef
  15. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  16. final def sc: SparkContext

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    Returns the underlying SparkContext.

    Returns the underlying SparkContext.

    Attributes
    protected
    Definition Classes
    BaseReadWrite
  17. 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
  18. 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
  19. 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
  20. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  21. def toString(): String

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    Definition Classes
    AnyRef → Any
  22. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  23. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  24. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from BaseReadWrite

Inherited from AnyRef

Inherited from Any

Members