Packages

class UnrollBinaryImage extends Transformer with HasInputCol with HasOutputCol with Wrappable with DefaultParamsWritable with BasicLogging

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
BasicLogging, 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. BasicLogging
  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
  2. All

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 getWidth: Int
  16. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  17. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  18. val height: IntParam
  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(): Unit
    Definition Classes
    BasicLogging
  23. def logFit[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  24. def logPredict[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  25. def logTrain[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  26. def logTransform[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  27. def logVerb[T](verb: String, f: ⇒ T): T
    Definition Classes
    BasicLogging
  28. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  29. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  30. val nChannels: IntParam
  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): UnrollBinaryImage.this.type
    Definition Classes
    Params
  37. def setHeight(v: Int): UnrollBinaryImage.this.type
  38. def setInputCol(value: String): UnrollBinaryImage.this.type

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

    Definition Classes
    HasOutputCol
  41. def setWidth(v: Int): UnrollBinaryImage.this.type
  42. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  43. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    UnrollBinaryImage → Transformer
  44. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  45. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  46. def transformSchema(schema: StructType): StructType
    Definition Classes
    UnrollBinaryImage → PipelineStage
  47. val uid: String
    Definition Classes
    UnrollBinaryImage → BasicLogging → Identifiable
  48. val ver: String
    Definition Classes
    BasicLogging
  49. val width: IntParam
  50. def write: MLWriter
    Definition Classes
    DefaultParamsWritable → MLWritable