Class/Object

com.microsoft.ml.spark

SuperpixelTransformer

Related Docs: object SuperpixelTransformer | package spark

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class SuperpixelTransformer extends Transformer with HasInputCol with HasOutputCol with Wrappable with DefaultParamsWritable with HasCellSize with HasModifier

A transformer that decomposes an image into it's superpixels

Linear Supertypes
HasModifier, HasCellSize, DefaultParamsWritable, MLWritable, HasOutputCol, HasInputCol, Wrappable, Transformer, PipelineStage, org.apache.spark.internal.Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. SuperpixelTransformer
  2. HasModifier
  3. HasCellSize
  4. DefaultParamsWritable
  5. MLWritable
  6. HasOutputCol
  7. HasInputCol
  8. Wrappable
  9. Transformer
  10. PipelineStage
  11. Logging
  12. Params
  13. Serializable
  14. Serializable
  15. Identifiable
  16. AnyRef
  17. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new SuperpixelTransformer()

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  2. new SuperpixelTransformer(uid: String)

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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. val cellSize: DoubleParam

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    Definition Classes
    HasCellSize

  7. final def clear(param: Param[_]): SuperpixelTransformer.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
    SuperpixelTransformer → Transformer → PipelineStage → Params

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

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    Attributes
    protected
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    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. def getCellSize: Double

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    Definition Classes
    HasCellSize

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

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  23. def getInputCol: String

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    Definition Classes
    HasInputCol

  24. def getModifier: Double

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    Definition Classes
    HasModifier

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

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    Definition Classes
    Params

  29. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  30. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  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. val modifier: DoubleParam

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    Definition Classes
    HasModifier

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

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    Definition Classes
    AnyRef

  52. final def notify(): Unit

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    Definition Classes
    AnyRef

  53. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  54. val outputCol: Param[String]

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    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol

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

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    Definition Classes
    Params

  56. def save(path: String): Unit

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

  57. final def set(paramPair: ParamPair[_]): SuperpixelTransformer.this.type

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    Attributes
    protected
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    Params

  58. final def set(param: String, value: Any): SuperpixelTransformer.this.type

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    Attributes
    protected
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    Params

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

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    Definition Classes
    Params

  60. def setCellSize(v: Double): SuperpixelTransformer.this.type

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    Definition Classes
    HasCellSize

  61. final def setDefault(paramPairs: ParamPair[_]*): SuperpixelTransformer.this.type

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    Attributes
    protected
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    Params

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

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    Attributes
    protected
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    Params

  63. def setInputCol(value: String): SuperpixelTransformer.this.type

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    Definition Classes
    HasInputCol

  64. def setModifier(v: Double): SuperpixelTransformer.this.type

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    Definition Classes
    HasModifier

  65. def setOutputCol(value: String): SuperpixelTransformer.this.type

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    Definition Classes
    HasOutputCol

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

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    Definition Classes
    AnyRef

  67. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

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

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    Definition Classes
    SuperpixelTransformer → Transformer

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

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

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

  71. def transformSchema(schema: StructType): StructType

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    Definition Classes
    SuperpixelTransformer → PipelineStage

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  73. val uid: String

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    Definition Classes
    SuperpixelTransformer → Identifiable

  74. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  77. def write: MLWriter

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from HasModifier

Inherited from HasCellSize

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