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 MMLParams

Image processing stage. Please refer to OpenCV for additional information

Annotations
@InternalWrapper()
Linear Supertypes
MMLParams, 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. MMLParams
  3. DefaultParamsWritable
  4. MLWritable
  5. HasOutputCol
  6. HasInputCol
  7. Wrappable
  8. Transformer
  9. PipelineStage
  10. Logging
  11. Params
  12. Serializable
  13. Serializable
  14. Identifiable
  15. AnyRef
  16. 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. def BooleanParam(i: Identifiable, name: String, description: String, default: Boolean): BooleanParam

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    Definition Classes
    Wrappable
  6. def BooleanParam(i: Identifiable, name: String, description: String): BooleanParam

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    Definition Classes
    Wrappable
  7. def DoubleParam(i: Identifiable, name: String, description: String, default: Double): DoubleParam

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    Definition Classes
    Wrappable
  8. def DoubleParam(i: Identifiable, name: String, description: String): DoubleParam

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    Definition Classes
    Wrappable
  9. def IntParam(i: Identifiable, name: String, description: String, validation: (Int) ⇒ Boolean): IntParam

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    Definition Classes
    Wrappable
  10. def IntParam(i: Identifiable, name: String, description: String, default: Int): IntParam

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    Definition Classes
    Wrappable
  11. def IntParam(i: Identifiable, name: String, description: String): IntParam

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    Definition Classes
    Wrappable
  12. def LongParam(i: Identifiable, name: String, description: String, default: Long): LongParam

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    Definition Classes
    Wrappable
  13. def LongParam(i: Identifiable, name: String, description: String): LongParam

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    Definition Classes
    Wrappable
  14. def StringParam(i: Identifiable, name: String, description: String, default: String, domain: Seq[String]): Param[String]

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    Definition Classes
    Wrappable
  15. def StringParam(i: Identifiable, name: String, description: String, default: String): Param[String]

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    Definition Classes
    Wrappable
  16. def StringParam(i: Identifiable, name: String, description: String, validation: (String) ⇒ Boolean): Param[String]

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    Definition Classes
    Wrappable
  17. def StringParam(i: Identifiable, name: String, description: String): Param[String]

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    Definition Classes
    Wrappable
  18. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  19. def blur(height: Double, width: Double): ImageTransformer.this.type

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  20. def chainedUid(origin: String): String

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    Definition Classes
    Wrappable
  21. final def clear(param: Param[_]): ImageTransformer.this.type

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    Definition Classes
    Params
  22. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  23. def colorFormat(format: Int): ImageTransformer.this.type

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  24. def copy(extra: ParamMap): Transformer

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

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    Attributes
    protected
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    Params
  26. def crop(x: Int, y: Int, height: Int, width: Int): ImageTransformer.this.type

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

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    Attributes
    protected
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    Params
  28. val emptyStages: Array[Map[String, Any]]

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

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

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

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    Definition Classes
    Params
  32. def explainParams(): String

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

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

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    Definition Classes
    Params
  35. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  36. 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.

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

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

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

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

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    Definition Classes
    Params
  41. def getInputCol: String

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

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    Definition Classes
    Params
  43. def getOutputCol: String

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

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    Definition Classes
    Params
  45. def getStages: Array[Map[String, Any]]

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

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

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    Definition Classes
    Params
  48. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  49. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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

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

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    The name of the input column

    The name of the input column

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

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

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

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    Definition Classes
    Params
  55. def isTraceEnabled(): Boolean

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    Attributes
    protected
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    Logging
  56. def log: Logger

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    Attributes
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    Logging
  57. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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

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

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    Attributes
    protected
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    Logging
  60. def logError(msg: ⇒ String): Unit

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    Attributes
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    Logging
  61. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
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    Logging
  62. def logInfo(msg: ⇒ String): Unit

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    Attributes
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    Logging
  63. def logName: String

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    Attributes
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    Logging
  64. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
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    Logging
  65. def logTrace(msg: ⇒ String): Unit

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

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    Attributes
    protected
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    Logging
  67. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
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    Logging
  68. final def ne(arg0: AnyRef): Boolean

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

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

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

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    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol
  72. val paramDomains: Map[String, Seq[String]]

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    Definition Classes
    Wrappable
  73. lazy val params: Array[Param[_]]

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    Definition Classes
    Params
  74. def resize(height: Int, width: Int): ImageTransformer.this.type

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  75. def save(path: String): Unit

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

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    Attributes
    protected
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    Params
  77. final def set(param: String, value: Any): ImageTransformer.this.type

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

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

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

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    Attributes
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    Params
  81. def setInputCol(value: String): ImageTransformer.this.type

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    Definition Classes
    HasInputCol
  82. def setOutputCol(value: String): ImageTransformer.this.type

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    Definition Classes
    HasOutputCol
  83. def setStages(value: Array[Map[String, Any]]): ImageTransformer.this.type

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  84. val stageName: String

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  85. val stages: ArrayMapParam

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

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    Definition Classes
    AnyRef
  87. def threshold(threshold: Double, maxVal: Double, thresholdType: Int): ImageTransformer.this.type

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  88. def toString(): String

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

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

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

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

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    Definition Classes
    ImageTransformer → PipelineStage
  93. def transformSchema(schema: StructType, logging: Boolean): StructType

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

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    The id of the module

    The id of the module

    Definition Classes
    ImageTransformer → Identifiable
  95. final def wait(): Unit

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

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  98. def write: MLWriter

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from MMLParams

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