Packages

class UnrollImage extends Transformer with HasInputCol with HasOutputCol with Wrappable with DefaultParamsWritable with SynapseMLLogging

Converts the representation of an m X n pixel image to an m * n vector of Doubles

The input column name is assumed to be "image", the output column name is "<uid>_output"

Linear Supertypes
SynapseMLLogging, DefaultParamsWritable, MLWritable, Wrappable, RWrappable, PythonWrappable, BaseWrappable, HasOutputCol, HasInputCol, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. UnrollImage
  2. SynapseMLLogging
  3. DefaultParamsWritable
  4. MLWritable
  5. Wrappable
  6. RWrappable
  7. PythonWrappable
  8. BaseWrappable
  9. HasOutputCol
  10. HasInputCol
  11. Transformer
  12. PipelineStage
  13. Logging
  14. Params
  15. Serializable
  16. Serializable
  17. Identifiable
  18. AnyRef
  19. Any
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Visibility
  1. Public
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Instance Constructors

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

    uid

    The id of the module

Value Members

  1. final def clear(param: Param[_]): UnrollImage.this.type
    Definition Classes
    Params
  2. def copy(extra: ParamMap): Transformer
    Definition Classes
    UnrollImage → Transformer → PipelineStage → Params
  3. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  4. def explainParams(): String
    Definition Classes
    Params
  5. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  6. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  7. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  8. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  9. def getInputCol: String

    Definition Classes
    HasInputCol
  10. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  11. def getOutputCol: String

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

    The name of the input column

    The name of the input column

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

    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol
  26. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  27. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  28. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  29. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  30. final def set[T](param: Param[T], value: T): UnrollImage.this.type
    Definition Classes
    Params
  31. def setInputCol(value: String): UnrollImage.this.type

    Definition Classes
    HasInputCol
  32. def setOutputCol(value: String): UnrollImage.this.type

    Definition Classes
    HasOutputCol
  33. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  34. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    UnrollImage → Transformer
  35. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  36. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  37. def transformSchema(schema: StructType): StructType
    Definition Classes
    UnrollImage → PipelineStage
  38. val uid: String
    Definition Classes
    UnrollImage → SynapseMLLogging → Identifiable
  39. def write: MLWriter
    Definition Classes
    DefaultParamsWritable → MLWritable