Packages

class UnrollBinaryImage 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. UnrollBinaryImage
  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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Instance Constructors

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

    uid

    The id of the module

Value Members

  1. final def clear(param: Param[_]): UnrollBinaryImage.this.type
    Definition Classes
    Params
  2. def copy(extra: ParamMap): Transformer
    Definition Classes
    UnrollBinaryImage → 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 getHeight: Int
  10. def getInputCol: String

    Definition Classes
    HasInputCol
  11. def getNChannels: Int
  12. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  13. def getOutputCol: String

    Definition Classes
    HasOutputCol
  14. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  15. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  16. def getWidth: Int
  17. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  18. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  19. val height: IntParam
  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 makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  28. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  29. val nChannels: IntParam
  30. val outputCol: Param[String]

    The name of the output column

    The name of the output column

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

    Definition Classes
    HasInputCol
  38. def setNChannels(v: Int): UnrollBinaryImage.this.type
  39. def setOutputCol(value: String): UnrollBinaryImage.this.type

    Definition Classes
    HasOutputCol
  40. def setWidth(v: Int): UnrollBinaryImage.this.type
  41. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  42. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    UnrollBinaryImage → 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
    UnrollBinaryImage → PipelineStage
  46. val uid: String
    Definition Classes
    UnrollBinaryImage → SynapseMLLogging → Identifiable
  47. val width: IntParam
  48. def write: MLWriter
    Definition Classes
    DefaultParamsWritable → MLWritable