Class/Object

com.microsoft.ml.spark

CNTKModel

Related Docs: object CNTKModel | package spark

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class CNTKModel extends Model[CNTKModel] with ComplexParamsWritable with HasMiniBatcher with Wrappable

Annotations
@InternalWrapper()
Linear Supertypes
Wrappable, HasMiniBatcher, ComplexParamsWritable, MLWritable, Model[CNTKModel], Transformer, PipelineStage, org.apache.spark.internal.Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. CNTKModel
  2. Wrappable
  3. HasMiniBatcher
  4. ComplexParamsWritable
  5. MLWritable
  6. Model
  7. Transformer
  8. PipelineStage
  9. Logging
  10. Params
  11. Serializable
  12. Serializable
  13. Identifiable
  14. AnyRef
  15. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new CNTKModel()

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  2. new CNTKModel(uid: String)

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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 $[T](param: Param[T]): T

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. val batchInput: BooleanParam

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  7. final def clear(param: Param[_]): CNTKModel.this.type

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    Definition Classes
    Params

  8. def clone(): AnyRef

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

  9. val convertOutputToDenseVector: BooleanParam

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  10. def copy(extra: ParamMap): CNTKModel.this.type

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    Definition Classes
    CNTKModel → Model → Transformer → PipelineStage → Params

  11. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params

  12. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    AnyRef

  14. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  15. def explainParam(param: Param[_]): String

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    Definition Classes
    Params

  16. def explainParams(): String

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    Definition Classes
    Params

  17. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

  18. final def extractParamMap(extra: ParamMap): ParamMap

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    Definition Classes
    Params

  19. val feedDict: MapParam[String, String]

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  20. val fetchDict: MapParam[String, String]

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  21. def finalize(): Unit

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

  22. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

  23. def getBatchInput: Boolean

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

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    Definition Classes
    AnyRef → Any

  25. def getConvertOutputToDenseVector: Boolean

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  26. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

  27. def getFeedDict: Map[String, String]

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  28. def getFetchDict: Map[String, String]

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  29. def getInputCol: String

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  30. def getInputNode: String

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  31. def getInputNodeIndex: Int

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  32. def getInputShapes: List[Array[Int]]

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    Returns the dimensions of the required input

  33. def getMiniBatchSize: Int

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    Definition Classes
    HasMiniBatcher

  34. def getMiniBatcher: MiniBatchBase

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    Definition Classes
    HasMiniBatcher

  35. def getModel: SerializableFunction

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  36. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params

  37. def getOutputCol: String

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  38. def getOutputNode: String

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  39. def getOutputNodeIndex: Int

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  40. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params

  41. def getShapeOutput: Boolean

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  42. final def hasDefault[T](param: Param[T]): Boolean

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    Definition Classes
    Params

  43. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  44. def hasParent: Boolean

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    Definition Classes
    Model

  45. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  46. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  47. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  48. final def isDefined(param: Param[_]): Boolean

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    Definition Classes
    Params

  49. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  50. final def isSet(param: Param[_]): Boolean

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    Definition Classes
    Params

  51. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  52. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

  53. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  54. def logDebug(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  55. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  56. def logError(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  57. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  58. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  59. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

  60. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  61. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  62. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  63. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  64. val miniBatcher: TransformerParam

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    Size of minibatches.

    Size of minibatches. Must be greater than 0; default is 10

    Definition Classes
    HasMiniBatcher

  65. val model: CNTKFunctionParam

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    Array of bytes containing the serialized CNTK Function

    Array of bytes containing the serialized CNTK Function

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

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    Definition Classes
    AnyRef

  67. final def notify(): Unit

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    Definition Classes
    AnyRef

  68. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  69. lazy val params: Array[Param[_]]

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    Definition Classes
    Params

  70. var parent: Estimator[CNTKModel]

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    Definition Classes
    Model

  71. def rebroadcastCNTKModel(spark: SparkSession): Unit

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  72. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )

  73. final def set(paramPair: ParamPair[_]): CNTKModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  74. final def set(param: String, value: Any): CNTKModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  75. final def set[T](param: Param[T], value: T): CNTKModel.this.type

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    Definition Classes
    Params

  76. def setBatchInput(v: Boolean): CNTKModel.this.type

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  77. def setConvertOutputToDenseVector(v: Boolean): CNTKModel.this.type

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  78. final def setDefault(paramPairs: ParamPair[_]*): CNTKModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  79. final def setDefault[T](param: Param[T], value: T): CNTKModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  80. def setFeedDict(k: String, v: String): CNTKModel.this.type

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  81. def setFeedDict(value: Map[String, String]): CNTKModel.this.type

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  82. def setFetchDict(k: String, v: String): CNTKModel.this.type

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  83. def setFetchDict(value: Map[String, String]): CNTKModel.this.type

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  84. def setInputCol(value: String): CNTKModel.this.type

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  85. def setInputNode(value: String): CNTKModel.this.type

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  86. def setInputNodeIndex(value: Int): CNTKModel.this.type

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  87. def setMiniBatchSize(n: Int): CNTKModel.this.type

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    Definition Classes
    HasMiniBatcher

  88. def setMiniBatcher(value: MiniBatchBase): CNTKModel.this.type

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    Definition Classes
    HasMiniBatcher

  89. def setModel(value: SerializableFunction): CNTKModel.this.type

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  90. def setModelLocation(path: String): CNTKModel.this.type

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  91. def setOutputCol(value: String): CNTKModel.this.type

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  92. def setOutputNode(value: String): CNTKModel.this.type

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  93. def setOutputNodeIndex(value: Int): CNTKModel.this.type

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  94. def setParent(parent: Estimator[CNTKModel]): CNTKModel

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    Definition Classes
    Model

  95. def setShapeOutput(v: Boolean): CNTKModel.this.type

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  96. val shapeOutput: BooleanParam

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

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    Definition Classes
    AnyRef

  98. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  99. def transform(dataset: Dataset[_]): DataFrame

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    Evaluate the model

    Evaluate the model

    dataset

    the dataset to featurize

    returns

    featurized dataset

    Definition Classes
    CNTKModel → Transformer

  100. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

  101. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()

  102. def transformSchema(schema: StructType): StructType

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    Definition Classes
    CNTKModel → PipelineStage

  103. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  104. val uid: String

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    Definition Classes
    CNTKModel → Identifiable

  105. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  108. def write: MLWriter

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    Definition Classes
    ComplexParamsWritable → MLWritable

Inherited from Wrappable

Inherited from HasMiniBatcher

Inherited from ComplexParamsWritable

Inherited from MLWritable

Inherited from Model[CNTKModel]

Inherited from Transformer

Inherited from PipelineStage

Inherited from org.apache.spark.internal.Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Parameters

A list of parameter keys this algorithm can take. Users can set and get the parameter values through setters and getters

Parameter setters

Parameter getters

Members