Class/Object

com.microsoft.ml.spark

ImageTransformer

Related Docs: object ImageTransformer | package spark

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

Image processing stage. Please refer to OpenCV for additional information

Annotations
@InternalWrapper()
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. ImageTransformer
  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 ImageTransformer()

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  2. new ImageTransformer(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. def blur(height: Double, width: Double): ImageTransformer.this.type

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  7. final def clear(param: Param[_]): ImageTransformer.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 colorFormat(format: Int): ImageTransformer.this.type

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  10. def copy(extra: ParamMap): Transformer

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    Definition Classes
    ImageTransformer → Transformer → PipelineStage → Params

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

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    Attributes
    protected
    Definition Classes
    Params

  12. def crop(x: Int, y: Int, height: Int, width: Int): ImageTransformer.this.type

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

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    Attributes
    protected
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    Params

  14. val emptyStages: Array[Map[String, Any]]

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

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    Definition Classes
    AnyRef

  16. def equals(arg0: Any): Boolean

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    Definition Classes
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  17. def explainParam(param: Param[_]): String

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    Definition Classes
    Params

  18. def explainParams(): String

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    Definition Classes
    Params

  19. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  21. def finalize(): Unit

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

  22. def flip(flipCode: Int): ImageTransformer.this.type

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    Flips the image

    Flips the image

    flipCode

    is a flag to specify how to flip the image: - 0 means flipping around the x-axis (i.e. up-down) - positive value (for example, 1) means flipping around y-axis (left-right) - negative value (for example, -1) means flipping around both axes (diagonally) See OpenCV documentation for details.

  23. def gaussianKernel(appertureSize: Int, sigma: Double): ImageTransformer.this.type

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

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    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  27. def getInputCol: String

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    Definition Classes
    HasInputCol

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

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    Definition Classes
    Params

  29. def getOutputCol: String

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    Definition Classes
    HasOutputCol

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

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    Definition Classes
    Params

  31. def getStages: Array[Map[String, Any]]

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

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    Definition Classes
    Params

  33. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  34. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    Logging

  36. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  37. val inputCol: Param[String]

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    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol

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

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    Definition Classes
    Params

  39. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  41. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  42. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
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    Logging

  49. def logName: String

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
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    Logging

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

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    Definition Classes
    AnyRef

  55. final def notify(): Unit

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    Definition Classes
    AnyRef

  56. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  57. val outputCol: Param[String]

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    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol

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

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    Definition Classes
    Params

  59. def resize(height: Int, width: Int): ImageTransformer.this.type

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  60. def save(path: String): Unit

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

  61. final def set(paramPair: ParamPair[_]): ImageTransformer.this.type

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    Attributes
    protected
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    Params

  62. final def set(param: String, value: Any): ImageTransformer.this.type

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    Attributes
    protected
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    Params

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

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    Definition Classes
    Params

  64. final def setDefault(paramPairs: ParamPair[_]*): ImageTransformer.this.type

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    Attributes
    protected
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    Params

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

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    Attributes
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    Params

  66. def setInputCol(value: String): ImageTransformer.this.type

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    Definition Classes
    HasInputCol

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

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    Definition Classes
    HasOutputCol

  68. def setStages(value: Array[Map[String, Any]]): ImageTransformer.this.type

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  69. val stageName: String

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  70. val stages: ArrayMapParam

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

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    Definition Classes
    AnyRef

  72. def threshold(threshold: Double, maxVal: Double, thresholdType: Int): ImageTransformer.this.type

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  73. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

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

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    Definition Classes
    ImageTransformer → Transformer

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

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

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

  77. def transformSchema(schema: StructType): StructType

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    Definition Classes
    ImageTransformer → PipelineStage

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  79. val uid: String

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    The id of the module

    The id of the module

    Definition Classes
    ImageTransformer → Identifiable

  80. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
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    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  83. 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