Packages

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

A transformer that decomposes an image into it's superpixels

Linear Supertypes
SynapseMLLogging, HasModifier, HasCellSize, DefaultParamsWritable, MLWritable, Wrappable, DotnetWrappable, RWrappable, PythonWrappable, BaseWrappable, HasOutputCol, HasInputCol, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. SuperpixelTransformer
  2. SynapseMLLogging
  3. HasModifier
  4. HasCellSize
  5. DefaultParamsWritable
  6. MLWritable
  7. Wrappable
  8. DotnetWrappable
  9. RWrappable
  10. PythonWrappable
  11. BaseWrappable
  12. HasOutputCol
  13. HasInputCol
  14. Transformer
  15. PipelineStage
  16. Logging
  17. Params
  18. Serializable
  19. Serializable
  20. Identifiable
  21. AnyRef
  22. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new SuperpixelTransformer()
  2. new SuperpixelTransformer(uid: String)

Value Members

  1. val cellSize: DoubleParam
    Definition Classes
    HasCellSize
  2. final def clear(param: Param[_]): SuperpixelTransformer.this.type
    Definition Classes
    Params
  3. def copy(extra: ParamMap): Transformer
    Definition Classes
    SuperpixelTransformer → Transformer → PipelineStage → Params
  4. def dotnetAdditionalMethods: String
    Definition Classes
    DotnetWrappable
  5. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  6. def explainParams(): String
    Definition Classes
    Params
  7. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  8. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  9. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  10. def getCellSize: Double
    Definition Classes
    HasCellSize
  11. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  12. def getInputCol: String

    Definition Classes
    HasInputCol
  13. def getModifier: Double
    Definition Classes
    HasModifier
  14. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  15. def getOutputCol: String

    Definition Classes
    HasOutputCol
  16. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  17. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  18. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  19. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  20. val inputCol: Param[String]

    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol
  21. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  22. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  23. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  24. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  25. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  26. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  27. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  28. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  29. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  30. val modifier: DoubleParam
    Definition Classes
    HasModifier
  31. val outputCol: Param[String]

    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol
  32. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  33. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  34. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  35. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  36. final def set[T](param: Param[T], value: T): SuperpixelTransformer.this.type
    Definition Classes
    Params
  37. def setCellSize(v: Double): SuperpixelTransformer.this.type
    Definition Classes
    HasCellSize
  38. def setInputCol(value: String): SuperpixelTransformer.this.type

    Definition Classes
    HasInputCol
  39. def setModifier(v: Double): SuperpixelTransformer.this.type
    Definition Classes
    HasModifier
  40. def setOutputCol(value: String): SuperpixelTransformer.this.type

    Definition Classes
    HasOutputCol
  41. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  42. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    SuperpixelTransformer → Transformer
  43. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  44. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  45. def transformSchema(schema: StructType): StructType
    Definition Classes
    SuperpixelTransformer → PipelineStage
  46. val uid: String
    Definition Classes
    SuperpixelTransformer → SynapseMLLogging → Identifiable
  47. def write: MLWriter
    Definition Classes
    DefaultParamsWritable → MLWritable