Class/Object

com.microsoft.ml.spark.opencv

ImageTransformer

Related Docs: object ImageTransformer | package opencv

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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, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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  2. By Inheritance
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. def additionalPythonMethods(): String

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

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

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

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    Definition Classes
    Params
  9. def clone(): AnyRef

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

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  11. def copy(extra: ParamMap): Transformer

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

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

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

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    Attributes
    protected
    Definition Classes
    Params
  15. val emptyStages: Array[Map[String, Any]]

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

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

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

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    Definition Classes
    Params
  19. def explainParams(): String

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

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

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    Definition Classes
    Params
  22. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  23. 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.

  24. def gaussianKernel(apertureSize: Int, sigma: Double): ImageTransformer.this.type

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

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

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

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    Definition Classes
    Params
  28. def getInputCol: String

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

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    Definition Classes
    Params
  30. def getOutputCol: String

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

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

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

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

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    Definition Classes
    Params
  35. def hashCode(): Int

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

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

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

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    The name of the input column

    The name of the input column

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

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

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

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    Definition Classes
    Params
  42. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  43. def log: Logger

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  50. def logName: String

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

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

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

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

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

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

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

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

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    The name of the output column

    The name of the output column

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

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

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  61. def save(path: String): Unit

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Params
  67. def setInputCol(value: String): ImageTransformer.this.type

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

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

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  70. val stageName: String

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  71. val stages: ArrayMapParam

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

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

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  74. def toString(): String

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

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

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

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

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

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

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    The id of the module

    The id of the module

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

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

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  84. 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