org.apache.spark.mllib.pmml

Interface PMMLExportable

All Known Implementing Classes:

KMeansModel, LassoModel, LinearRegressionModel, LogisticRegressionModel, RidgeRegressionModel, StreamingKMeansModel, SVMModel

public interface PMMLExportable

:: 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).

Method Summary

Methods

Modifier and Type	Method and Description
java.lang.String	toPMML() :: Experimental :: Export the model to a String in PMML format
void	toPMML(java.io.OutputStream outputStream) :: Experimental :: Export the model to the OutputStream in PMML format
void	toPMML(SparkContext sc, java.lang.String path) :: Experimental :: Export the model to a directory on a distributed file system in PMML format
void	toPMML(javax.xml.transform.stream.StreamResult streamResult) Export the model to the stream result in PMML format
void	toPMML(java.lang.String localPath) :: Experimental :: Export the model to a local file in PMML format

Method Detail

toPMML

void toPMML(javax.xml.transform.stream.StreamResult streamResult)

Export the model to the stream result in PMML format

Parameters:

streamResult - (undocumented)

toPMML

void toPMML(java.lang.String localPath)

:: Experimental :: Export the model to a local file in PMML format

Parameters:

localPath - (undocumented)

toPMML

void toPMML(SparkContext sc,
          java.lang.String path)

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

Parameters:

sc - (undocumented)

path - (undocumented)

toPMML

void toPMML(java.io.OutputStream outputStream)

:: Experimental :: Export the model to the OutputStream in PMML format

Parameters:

outputStream - (undocumented)

toPMML

java.lang.String toPMML()

:: Experimental :: Export the model to a String in PMML format

Returns:

(undocumented)