com.intel.analytics.bigdl.utils

Engine

object Engine

Linear Supertypes
AnyRef, Any
Ordering
  1. Alphabetic
  2. By inheritance
Inherited
  1. Engine
  2. AnyRef
  3. Any
  1. Hide All
  2. Show all
Learn more about member selection
Visibility
  1. Public
  2. All

Value Members

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

    Definition Classes
    AnyRef
  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any
  3. final def ##(): Int

    Definition Classes
    AnyRef → Any
  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  5. final def ==(arg0: Any): Boolean

    Definition Classes
    Any
  6. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  7. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  8. def createSparkConf(exisitingConf: SparkConf = null): SparkConf

    BigDL need some Spark conf values to be set correctly to have better performance.

    BigDL need some Spark conf values to be set correctly to have better performance.

    This method will create a SparkConf, or use the existing one if you provide one. Populate it with correct values.

    We recommend you use this method instead of setting spark conf values directly. This can make the Spark conf values changes transparent to you. However, if you use spark-shell or Jupyter notebook, as the Spark context is created before your code, you have to set them directly (through command line options or properties file)

    returns

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

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

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

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

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

    Definition Classes
    AnyRef → Any
  14. def init: Unit

    This method should be call before any BigDL procedure and after the Spark context is created.

    This method should be call before any BigDL procedure and after the Spark context is created.

    BigDL needs some Spark conf values to be set correctly to have a better performance. There's also multi-thread engines so executor number and core number per executor need to be known to set the parameter of these engines correctly.

    The method can set parameters of multi-thread engines, verify spark conf values of an existing spark context.

  15. final def isInstanceOf[T0]: Boolean

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

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

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

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

    Definition Classes
    AnyRef
  20. def toString(): String

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

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

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Deprecated Value Members

  1. def init(nExecutor: Int, executorCores: Int, onSpark: Boolean): Option[SparkConf]

    Annotations
    @deprecated
    Deprecated

    (Since version 0.1.0) See https://github.com/intel-analytics/BigDL/wiki/Programming-Guide#engine

Inherited from AnyRef

Inherited from Any

Ungrouped