Trait

org.apache.spark.mllib.pmml

PMMLExportable

Related Doc: package pmml

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trait PMMLExportable extends AnyRef

:: DeveloperApi :: Export model to the PMML format Predictive Model Markup Language (PMML) is an XML-based file format developed by the Data Mining Group (www.dmg.org).

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@DeveloperApi() @Since( "1.4.0" )
Source
PMMLExportable.scala
Linear Supertypes
AnyRef, Any
Known Subclasses
KMeansModel, LassoModel, LinearRegressionModel, LogisticRegressionModel, RidgeRegressionModel, SVMModel, StreamingKMeansModel
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  15. final def synchronized[T0](arg0: ⇒ T0): T0

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  16. def toPMML(): String

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    Export the model to a String in PMML format

    Export the model to a String in PMML format

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    @Since( "1.4.0" )

  17. def toPMML(outputStream: OutputStream): Unit

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    Export the model to the OutputStream in PMML format

    Export the model to the OutputStream in PMML format

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    @Since( "1.4.0" )

  18. def toPMML(sc: SparkContext, path: String): Unit

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    Export the model to a directory on a distributed file system in PMML format

    Export the model to a directory on a distributed file system in PMML format

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    @Since( "1.4.0" )

  19. def toPMML(localPath: String): Unit

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    Export the model to a local file in PMML format

    Export the model to a local file in PMML format

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    @Since( "1.4.0" )

  20. def toString(): String

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  21. final def wait(): Unit

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

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