Packages

class Model extends PredictionModel[Vector, Model]

A Spark API compatible Scoring Code model. For instantiating use the Predictors

Linear Supertypes
PredictionModel[Vector, Model], PredictorParams, HasPredictionCol, HasFeaturesCol, HasLabelCol, org.apache.spark.ml.Model[Model], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. Model
  2. PredictionModel
  3. PredictorParams
  4. HasPredictionCol
  5. HasFeaturesCol
  6. HasLabelCol
  7. Model
  8. Transformer
  9. PipelineStage
  10. Logging
  11. Params
  12. Serializable
  13. Serializable
  14. Identifiable
  15. AnyRef
  16. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new Model(modelBytes: Array[Byte], model: IPredictorInfo, modelId: String, _options: TimeSeriesOptions)

    modelBytes

    byte array from a Scoring Code model file

    model

    Scoring Code instance

    modelId

    unique model id for the Scoring Code model

Type Members

  1. class TimeSeriesHistoricalPredictionsFunc extends (org.apache.spark.sql.Row) ⇒ TraversableOnce[org.apache.spark.sql.Row] with Serializable
  2. class TimeSeriesRealTimePredictionsFunc extends (org.apache.spark.sql.Row) ⇒ TraversableOnce[org.apache.spark.sql.Row] with Serializable
  3. class TimeSeriesSingleForecastPointPredictionsFunc extends (org.apache.spark.sql.Row) ⇒ TraversableOnce[org.apache.spark.sql.Row] with Serializable

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. var _options: TimeSeriesOptions
  6. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  7. final def clear(param: Param[_]): Model.this.type
    Definition Classes
    Params
  8. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native() @HotSpotIntrinsicCandidate()
  9. def copy(extra: ParamMap): Model
    Definition Classes
    Model → Model → Transformer → PipelineStage → Params
  10. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  11. def dateTimeStringToEpoch(date: String, format: String): Long
  12. def dateTimeStringToEpochFunc(format: String): (String) ⇒ Long
  13. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  14. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  15. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  16. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  17. def explainParams(): String
    Definition Classes
    Params
  18. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  19. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  20. final val featuresCol: Param[String]
    Definition Classes
    HasFeaturesCol
  21. def featuresDataType: DataType
    Attributes
    protected
    Definition Classes
    PredictionModel
  22. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  23. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  24. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  25. final def getFeaturesCol: String
    Definition Classes
    HasFeaturesCol
  26. final def getLabelCol: String
    Definition Classes
    HasLabelCol
  27. def getModel(): IPredictorInfo
  28. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  29. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  30. final def getPredictionCol: String
    Definition Classes
    HasPredictionCol
  31. def getWindowLength(predictor: ITimeSeriesRegressionPredictor): Long
  32. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  33. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  34. def hasParent: Boolean
    Definition Classes
    Model
  35. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  36. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  37. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  38. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  39. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  40. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  41. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  42. final val labelCol: Param[String]
    Definition Classes
    HasLabelCol
  43. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  44. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  45. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  46. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  47. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  48. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  49. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  50. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  51. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  52. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  53. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  54. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  55. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  56. var notSeerializableModel: IPredictorInfo
  57. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  58. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  59. def numFeatures: Int
    Definition Classes
    PredictionModel
    Annotations
    @Since( "1.6.0" )
  60. def options: TimeSeriesOptions
  61. def options_=(options: TimeSeriesOptions): Unit
  62. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  63. var parent: Estimator[Model]
    Definition Classes
    Model
  64. def predict(features: Vector): Double
    Definition Classes
    Model → PredictionModel
  65. final val predictionCol: Param[String]
    Definition Classes
    HasPredictionCol
  66. final def set(paramPair: ParamPair[_]): Model.this.type
    Attributes
    protected
    Definition Classes
    Params
  67. final def set(param: String, value: Any): Model.this.type
    Attributes
    protected
    Definition Classes
    Params
  68. final def set[T](param: Param[T], value: T): Model.this.type
    Definition Classes
    Params
  69. final def setDefault(paramPairs: ParamPair[_]*): Model.this.type
    Attributes
    protected
    Definition Classes
    Params
  70. final def setDefault[T](param: Param[T], value: T): Model.this.type
    Attributes
    protected[ml]
    Definition Classes
    Params
  71. def setFeaturesCol(value: String): Model
    Definition Classes
    PredictionModel
  72. def setParent(parent: Estimator[Model]): Model
    Definition Classes
    Model
  73. def setPredictionCol(value: String): Model
    Definition Classes
    PredictionModel
  74. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  75. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  76. def transform(dataset: Dataset[_]): DataFrame

    For the regression models it adds only one column with the prediction for it.

    For the regression models it adds only one column with the prediction for it.

    For the multi-class models it adds one column per class with probability for that class. e.g target_{CLASS_NAME}_PREDICTION => target_Iris-setosa_PREDICTION,target_Iris-versicolor_PREDICTION,target_Iris-virginica_PREDICTION

    dataset

    input

    returns

    output is an input DataFrame with additional columns with predictions.

    Definition Classes
    Model → PredictionModel → Transformer
  77. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  78. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  79. def transformImpl(dataset: Dataset[_]): DataFrame
    Attributes
    protected
    Definition Classes
    PredictionModel
  80. def transformSchema(schema: StructType): StructType
    Definition Classes
    PredictionModel → PipelineStage
  81. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  82. val uid: String
    Definition Classes
    Model → Identifiable
  83. def validateAndTransformSchema(schema: StructType, fitting: Boolean, featuresDataType: DataType): StructType
    Attributes
    protected
    Definition Classes
    PredictorParams
  84. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  85. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  86. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] ) @Deprecated
    Deprecated

Inherited from PredictionModel[Vector, Model]

Inherited from PredictorParams

Inherited from HasPredictionCol

Inherited from HasFeaturesCol

Inherited from HasLabelCol

Inherited from org.apache.spark.ml.Model[Model]

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

Ungrouped