Packages

class UnrollImage 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. UnrollImage
  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 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. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  14. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  15. val inputCol: Param[String]

    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol
  16. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  17. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  18. def logClass(): Unit
    Definition Classes
    BasicLogging
  19. def logFit[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  20. def logPredict[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  21. def logTrain[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  22. def logTransform[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  23. def logVerb[T](verb: String, f: ⇒ T): T
    Definition Classes
    BasicLogging
  24. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  25. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  26. val outputCol: Param[String]

    The name of the output column

    The name of the output column

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

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

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