Class/Object

com.microsoft.ml.spark.image

UnrollBinaryImage

Related Docs: object UnrollBinaryImage | package image

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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, 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. def additionalPythonMethods(): String

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    Definition Classes
    Wrappable

  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  7. final def clear(param: Param[_]): UnrollBinaryImage.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. def copy(extra: ParamMap): Transformer

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    Definition Classes
    UnrollBinaryImage → Transformer → PipelineStage → Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    AnyRef

  13. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  15. def explainParams(): String

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    Definition Classes
    Params

  16. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  18. def finalize(): Unit

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

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

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    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  22. def getHeight: Int

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  23. def getInputCol: String

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    Definition Classes
    HasInputCol

  24. def getNChannels: Int

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

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    Definition Classes
    Params

  26. def getOutputCol: String

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    Definition Classes
    HasOutputCol

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

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    Definition Classes
    Params

  28. def getWidth: Int

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

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    Definition Classes
    Params

  30. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  31. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  32. val height: IntParam

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

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    Attributes
    protected
    Definition Classes
    Logging

  34. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  35. val inputCol: Param[String]

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    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol

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

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    Definition Classes
    Params

  37. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  39. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  40. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  47. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  52. val nChannels: IntParam

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

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    Definition Classes
    AnyRef

  54. final def notify(): Unit

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    Definition Classes
    AnyRef

  55. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  56. val outputCol: Param[String]

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    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol

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

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    Definition Classes
    Params

  58. def save(path: String): Unit

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

  59. final def set(paramPair: ParamPair[_]): UnrollBinaryImage.this.type

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    Attributes
    protected
    Definition Classes
    Params

  60. final def set(param: String, value: Any): UnrollBinaryImage.this.type

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    Params

  62. final def setDefault(paramPairs: ParamPair[_]*): UnrollBinaryImage.this.type

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

  64. def setHeight(v: Int): UnrollBinaryImage.this.type

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

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    Definition Classes
    HasInputCol

  66. def setNChannels(v: Int): UnrollBinaryImage.this.type

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  67. def setOutputCol(value: String): UnrollBinaryImage.this.type

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    Definition Classes
    HasOutputCol

  68. def setWidth(v: Int): UnrollBinaryImage.this.type

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

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    Definition Classes
    AnyRef

  70. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

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

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    Definition Classes
    UnrollBinaryImage → Transformer

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

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

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

  74. def transformSchema(schema: StructType): StructType

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    Definition Classes
    UnrollBinaryImage → PipelineStage

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  76. val uid: String

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    The id of the module

    The id of the module

    Definition Classes
    UnrollBinaryImage → Identifiable

  77. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  80. val width: IntParam

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  81. 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 Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

getParam

param

setParam

Ungrouped