Class/Object

org.apache.spark.ml.classification

SmileClassificationModel

Related Docs: object SmileClassificationModel | package classification

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class SmileClassificationModel extends ClassificationModel[Vector, SmileClassificationModel] with SmileClassifierParams with MLWritable

Linear Supertypes
MLWritable, SmileClassifierParams, ClassificationModel[Vector, SmileClassificationModel], ClassifierParams, HasRawPredictionCol, PredictionModel[Vector, SmileClassificationModel], PredictorParams, HasPredictionCol, HasFeaturesCol, HasLabelCol, Model[SmileClassificationModel], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. SmileClassificationModel
  2. MLWritable
  3. SmileClassifierParams
  4. ClassificationModel
  5. ClassifierParams
  6. HasRawPredictionCol
  7. PredictionModel
  8. PredictorParams
  9. HasPredictionCol
  10. HasFeaturesCol
  11. HasLabelCol
  12. Model
  13. Transformer
  14. PipelineStage
  15. Logging
  16. Params
  17. Serializable
  18. Serializable
  19. Identifiable
  20. AnyRef
  21. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new SmileClassificationModel(numClasses: Int, model: smile.classification.Classifier[Array[Double]])

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  2. new SmileClassificationModel(uid: String, numClasses: Int, model: smile.classification.Classifier[Array[Double]])

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Type Members

  1. type Trainer = (Array[Array[Double]], Array[Int]) ⇒ smile.classification.Classifier[Array[Double]]

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    Definition Classes
    SmileClassifierParams

Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. final def $[T](param: Param[T]): T

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    Attributes
    protected
    Definition Classes
    Params

  4. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. final def clear(param: Param[_]): SmileClassificationModel.this.type

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    Definition Classes
    Params

  7. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  8. def copy(extra: ParamMap): SmileClassificationModel

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    Definition Classes
    SmileClassificationModel → Model → Transformer → PipelineStage → Params

  9. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params

  10. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params

  11. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  12. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  13. def explainParam(param: Param[_]): String

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    Definition Classes
    Params

  14. def explainParams(): String

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    Definition Classes
    Params

  15. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

  16. final def extractParamMap(extra: ParamMap): ParamMap

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    Definition Classes
    Params

  17. final val featuresCol: Param[String]

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    Definition Classes
    HasFeaturesCol

  18. def featuresDataType: DataType

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    Attributes
    protected
    Definition Classes
    PredictionModel

  19. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  20. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

  21. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  22. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

  23. final def getFeaturesCol: String

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    Definition Classes
    HasFeaturesCol

  24. final def getLabelCol: String

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    Definition Classes
    HasLabelCol

  25. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params

  26. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params

  27. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol

  28. final def getRawPredictionCol: String

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    Definition Classes
    HasRawPredictionCol

  29. def getTrainer: Trainer

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    Definition Classes
    SmileClassifierParams

  30. final def hasDefault[T](param: Param[T]): Boolean

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    Definition Classes
    Params

  31. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  32. def hasParent: Boolean

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    Definition Classes
    Model

  33. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  34. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  35. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  36. final def isDefined(param: Param[_]): Boolean

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    Definition Classes
    Params

  37. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  38. final def isSet(param: Param[_]): Boolean

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    Definition Classes
    Params

  39. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  40. final val labelCol: Param[String]

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    Definition Classes
    HasLabelCol

  41. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

  42. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  43. def logDebug(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  44. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  45. def logError(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  46. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  47. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  48. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

  49. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  50. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  51. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  52. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  53. val model: smile.classification.Classifier[Array[Double]]

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  54. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  55. final def notify(): Unit

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    Definition Classes
    AnyRef

  56. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  57. val numClasses: Int

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    Definition Classes
    SmileClassificationModel → ClassificationModel

  58. def numFeatures: Int

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    Definition Classes
    PredictionModel
    Annotations
    @Since( "1.6.0" )

  59. lazy val params: Array[Param[_]]

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    Definition Classes
    Params

  60. var parent: Estimator[SmileClassificationModel]

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    Definition Classes
    Model

  61. def predict(features: Vector): Double

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    Definition Classes
    ClassificationModel → PredictionModel

  62. def predictRaw(features: Vector): Vector

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    Attributes
    protected
    Definition Classes
    SmileClassificationModel → ClassificationModel

  63. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol

  64. def raw2prediction(rawPrediction: Vector): Double

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    Attributes
    protected
    Definition Classes
    ClassificationModel

  65. final val rawPredictionCol: Param[String]

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    Definition Classes
    HasRawPredictionCol

  66. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )

  67. final def set(paramPair: ParamPair[_]): SmileClassificationModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  68. final def set(param: String, value: Any): SmileClassificationModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  69. final def set[T](param: Param[T], value: T): SmileClassificationModel.this.type

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    Definition Classes
    Params

  70. final def setDefault(paramPairs: ParamPair[_]*): SmileClassificationModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  71. final def setDefault[T](param: Param[T], value: T): SmileClassificationModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  72. def setFeaturesCol(value: String): SmileClassificationModel

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    Definition Classes
    PredictionModel

  73. def setParent(parent: Estimator[SmileClassificationModel]): SmileClassificationModel

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    Definition Classes
    Model

  74. def setPredictionCol(value: String): SmileClassificationModel

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    Definition Classes
    PredictionModel

  75. def setRawPredictionCol(value: String): SmileClassificationModel

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    Definition Classes
    ClassificationModel

  76. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef

  77. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  78. val trainer: Param[Trainer]

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    smile classifier used for training

    smile classifier used for training

    Definition Classes
    SmileClassifierParams

  79. def transform(dataset: Dataset[_]): DataFrame

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    Definition Classes
    ClassificationModel → PredictionModel → Transformer

  80. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

  81. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()

  82. def transformImpl(dataset: Dataset[_]): DataFrame

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    Attributes
    protected
    Definition Classes
    PredictionModel

  83. def transformSchema(schema: StructType): StructType

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    Definition Classes
    PredictionModel → PipelineStage

  84. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  85. val uid: String

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    Definition Classes
    SmileClassificationModel → Identifiable

  86. def validateAndTransformSchema(schema: StructType, fitting: Boolean, featuresDataType: DataType): StructType

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    Attributes
    protected
    Definition Classes
    ClassifierParams → PredictorParams

  87. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  88. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  89. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  90. def write: MLWriter

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    Definition Classes
    SmileClassificationModel → MLWritable

Inherited from MLWritable

Inherited from SmileClassifierParams

Inherited from ClassificationModel[Vector, SmileClassificationModel]

Inherited from ClassifierParams

Inherited from HasRawPredictionCol

Inherited from PredictionModel[Vector, SmileClassificationModel]

Inherited from PredictorParams

Inherited from HasPredictionCol

Inherited from HasFeaturesCol

Inherited from HasLabelCol

Inherited from Model[SmileClassificationModel]

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

Ungrouped