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, DotnetWrappable, RWrappable, PythonWrappable, BaseWrappable, HasOutputCol, HasInputCol, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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  2. By Inheritance
Inherited
  1. UnrollImage
  2. SynapseMLLogging
  3. DefaultParamsWritable
  4. MLWritable
  5. Wrappable
  6. DotnetWrappable
  7. RWrappable
  8. PythonWrappable
  9. BaseWrappable
  10. HasOutputCol
  11. HasInputCol
  12. Transformer
  13. PipelineStage
  14. Logging
  15. Params
  16. Serializable
  17. Serializable
  18. Identifiable
  19. AnyRef
  20. 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 !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T
    Attributes
    protected
    Definition Classes
    Params
  4. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. lazy val classNameHelper: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  7. final def clear(param: Param[_]): UnrollImage.this.type
    Definition Classes
    Params
  8. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  9. def companionModelClassName: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  10. def copy(extra: ParamMap): Transformer
    Definition Classes
    UnrollImage → Transformer → PipelineStage → Params
  11. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  12. lazy val copyrightLines: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  13. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  14. def dotnetAdditionalMethods: String
    Definition Classes
    DotnetWrappable
  15. def dotnetClass(): String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  16. lazy val dotnetClassName: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  17. lazy val dotnetClassNameString: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  18. lazy val dotnetClassWrapperName: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  19. lazy val dotnetCopyrightLines: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  20. def dotnetExtraEstimatorImports: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  21. def dotnetExtraMethods: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  22. lazy val dotnetInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  23. def dotnetMLReadWriteMethods: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  24. lazy val dotnetNamespace: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  25. lazy val dotnetObjectBaseClass: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  26. def dotnetParamGetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  27. def dotnetParamGetters: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  28. def dotnetParamSetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  29. def dotnetParamSetters: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  30. def dotnetWrapAsTypeMethod: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  31. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  32. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  33. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  34. def explainParams(): String
    Definition Classes
    Params
  35. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  36. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  37. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  38. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  39. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  40. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  41. def getInputCol: String

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

    Definition Classes
    HasOutputCol
  44. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  45. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  46. def getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  47. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  48. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  49. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  50. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  51. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  52. val inputCol: Param[String]

    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol
  53. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  54. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  55. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  56. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  57. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  58. def logBase(info: Map[String, String], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  59. def logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  60. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  61. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  62. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  63. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  64. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  65. def logErrorBase(methodName: String, e: Exception): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  66. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  67. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  68. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  69. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  70. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  71. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  72. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  73. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  74. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  75. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  76. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  77. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  78. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  79. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  80. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  81. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  82. val outputCol: Param[String]

    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol
  83. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  84. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  85. lazy val pyClassDoc: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  86. lazy val pyClassName: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  87. def pyExtraEstimatorImports: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  88. def pyExtraEstimatorMethods: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  89. lazy val pyInheritedClasses: Seq[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  90. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  91. lazy val pyInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    PythonWrappable
  92. lazy val pyObjectBaseClass: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  93. def pyParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  94. def pyParamDefault[T](p: Param[T]): Option[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  95. def pyParamGetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  96. def pyParamSetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  97. def pyParamsArgs: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  98. def pyParamsDefaults: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  99. lazy val pyParamsDefinitions: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  100. def pyParamsGetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  101. def pyParamsSetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  102. def pythonClass(): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  103. def rClass(): String
    Attributes
    protected
    Definition Classes
    RWrappable
  104. def rDocString: String
    Attributes
    protected
    Definition Classes
    RWrappable
  105. def rExtraBodyLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  106. def rExtraInitLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  107. lazy val rFuncName: String
    Attributes
    protected
    Definition Classes
    RWrappable
  108. lazy val rInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    RWrappable
  109. def rParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    RWrappable
  110. def rParamsArgs: String
    Attributes
    protected
    Definition Classes
    RWrappable
  111. def rSetterLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  112. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  113. final def set(paramPair: ParamPair[_]): UnrollImage.this.type
    Attributes
    protected
    Definition Classes
    Params
  114. final def set(param: String, value: Any): UnrollImage.this.type
    Attributes
    protected
    Definition Classes
    Params
  115. final def set[T](param: Param[T], value: T): UnrollImage.this.type
    Definition Classes
    Params
  116. final def setDefault(paramPairs: ParamPair[_]*): UnrollImage.this.type
    Attributes
    protected
    Definition Classes
    Params
  117. final def setDefault[T](param: Param[T], value: T): UnrollImage.this.type
    Attributes
    protected[org.apache.spark.ml]
    Definition Classes
    Params
  118. def setInputCol(value: String): UnrollImage.this.type

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

    Definition Classes
    HasOutputCol
  120. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  121. val thisStage: Params
    Attributes
    protected
    Definition Classes
    BaseWrappable
  122. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  123. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    UnrollImage → Transformer
  124. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  125. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  126. def transformSchema(schema: StructType): StructType
    Definition Classes
    UnrollImage → PipelineStage
  127. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  128. val uid: String
    Definition Classes
    UnrollImage → SynapseMLLogging → Identifiable
  129. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  130. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  131. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  132. def write: MLWriter
    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from SynapseMLLogging

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from Wrappable

Inherited from DotnetWrappable

Inherited from RWrappable

Inherited from PythonWrappable

Inherited from BaseWrappable

Inherited from HasOutputCol

Inherited from HasInputCol

Inherited from Transformer

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

getParam

param

setParam

Ungrouped