Class/Object

com.microsoft.ml.spark

UnrollBinaryImage

Related Docs: object UnrollBinaryImage | package spark

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class UnrollBinaryImage extends Transformer with HasInputCol with HasOutputCol with Wrappable with DefaultParamsWritable

Converts the representation of an m X n pixel image to an m * n vector of Doubles

The input column name is assumed to be "image", the output column name is "<uid>_output"

Linear Supertypes
DefaultParamsWritable, MLWritable, HasOutputCol, HasInputCol, Wrappable, Transformer, PipelineStage, org.apache.spark.internal.Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. UnrollBinaryImage
  2. DefaultParamsWritable
  3. MLWritable
  4. HasOutputCol
  5. HasInputCol
  6. Wrappable
  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 UnrollBinaryImage()

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  2. new UnrollBinaryImage(uid: String)

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    uid

    The id of the module

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

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    Definition Classes
    Params
  7. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  8. def copy(extra: ParamMap): Transformer

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    Definition Classes
    UnrollBinaryImage → Transformer → PipelineStage → Params
  9. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params
  10. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params
  11. final def eq(arg0: AnyRef): Boolean

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

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    Definition Classes
    AnyRef → Any
  13. def explainParam(param: Param[_]): String

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    Definition Classes
    Params
  14. def explainParams(): String

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    Definition Classes
    Params
  15. final def extractParamMap(): ParamMap

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    Definition Classes
    Params
  16. final def extractParamMap(extra: ParamMap): ParamMap

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    Definition Classes
    Params
  17. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  18. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  19. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  20. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  21. def getHeight: Int

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  22. def getInputCol: String

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    Definition Classes
    HasInputCol
  23. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params
  24. def getOutputCol: String

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    Definition Classes
    HasOutputCol
  25. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params
  26. def getWidth: Int

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

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    Definition Classes
    Params
  28. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params
  29. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  30. val height: IntParam

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

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    Attributes
    protected
    Definition Classes
    Logging
  32. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  33. val inputCol: Param[String]

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    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol
  34. final def isDefined(param: Param[_]): Boolean

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    Definition Classes
    Params
  35. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  36. final def isSet(param: Param[_]): Boolean

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    Definition Classes
    Params
  37. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  38. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging
  39. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  40. def logDebug(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  41. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  42. def logError(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  43. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  44. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  45. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging
  46. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  47. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  48. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  49. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  50. final def ne(arg0: AnyRef): Boolean

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

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

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    Definition Classes
    AnyRef
  53. val outputCol: Param[String]

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    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol
  54. lazy val params: Array[Param[_]]

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    Definition Classes
    Params
  55. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  56. final def set(paramPair: ParamPair[_]): UnrollBinaryImage.this.type

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    Attributes
    protected
    Definition Classes
    Params
  57. final def set(param: String, value: Any): UnrollBinaryImage.this.type

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    Attributes
    protected
    Definition Classes
    Params
  58. final def set[T](param: Param[T], value: T): UnrollBinaryImage.this.type

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    Definition Classes
    Params
  59. final def setDefault(paramPairs: ParamPair[_]*): UnrollBinaryImage.this.type

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    Attributes
    protected
    Definition Classes
    Params
  60. final def setDefault[T](param: Param[T], value: T): UnrollBinaryImage.this.type

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    Attributes
    protected
    Definition Classes
    Params
  61. def setHeight(v: Int): UnrollBinaryImage.this.type

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  62. def setInputCol(value: String): UnrollBinaryImage.this.type

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    Definition Classes
    HasInputCol
  63. def setOutputCol(value: String): UnrollBinaryImage.this.type

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    Definition Classes
    HasOutputCol
  64. def setWidth(v: Int): UnrollBinaryImage.this.type

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

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    Definition Classes
    AnyRef
  66. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  67. def transform(dataset: Dataset[_]): DataFrame

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    Definition Classes
    UnrollBinaryImage → Transformer
  68. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  69. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  70. def transformSchema(schema: StructType): StructType

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    Definition Classes
    UnrollBinaryImage → PipelineStage
  71. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  72. val uid: String

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    The id of the module

    The id of the module

    Definition Classes
    UnrollBinaryImage → Identifiable
  73. final def wait(): Unit

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

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  76. val width: IntParam

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  77. def write: MLWriter

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from HasOutputCol

Inherited from HasInputCol

Inherited from Wrappable

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