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, 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. RWrappable
  9. PythonWrappable
  10. BaseWrappable
  11. HasOutputCol
  12. HasInputCol
  13. Transformer
  14. PipelineStage
  15. Logging
  16. Params
  17. Serializable
  18. Serializable
  19. Identifiable
  20. AnyRef
  21. 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 explainParam(param: Param[_]): String
    Definition Classes
    Params
  5. def explainParams(): String
    Definition Classes
    Params
  6. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  7. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  8. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  9. def getCellSize: Double
    Definition Classes
    HasCellSize
  10. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  11. def getInputCol: String

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

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

    The name of the input column

    The name of the input column

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

    The name of the output column

    The name of the output column

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

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

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