org.apache.spark.mllib.classification.impl

Class GLMClassificationModel.SaveLoadV1_0$

Object

org.apache.spark.mllib.classification.impl.GLMClassificationModel.SaveLoadV1_0$

Enclosing class:

GLMClassificationModel

public static class GLMClassificationModel.SaveLoadV1_0$
extends Object

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	GLMClassificationModel.SaveLoadV1_0$.Data Model data for import/export

Field Summary

Fields

Modifier and Type	Field and Description
static GLMClassificationModel.SaveLoadV1_0$	MODULE$ Static reference to the singleton instance of this Scala object.

Constructor Summary

Constructors

Constructor and Description
SaveLoadV1_0$()

Method Summary

Modifier and Type	Method and Description
org.apache.spark.mllib.classification.impl.GLMClassificationModel.SaveLoadV1_0.Data	loadData(SparkContext sc, String path, String modelClass) Helper method for loading GLM classification model data.
void	save(SparkContext sc, String path, String modelClass, int numFeatures, int numClasses, Vector weights, double intercept, scala.Option<Object> threshold) Helper method for saving GLM classification model metadata and data.
String	thisFormatVersion()

Methods inherited from class Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

MODULE$

public static final GLMClassificationModel.SaveLoadV1_0$ MODULE$

Static reference to the singleton instance of this Scala object.

Constructor Detail

SaveLoadV1_0$

public SaveLoadV1_0$()

Method Detail

thisFormatVersion

public String thisFormatVersion()

save

public void save(SparkContext sc,
                 String path,
                 String modelClass,
                 int numFeatures,
                 int numClasses,
                 Vector weights,
                 double intercept,
                 scala.Option<Object> threshold)

Helper method for saving GLM classification model metadata and data.

Parameters:

modelClass - String name for model class, to be saved with metadata

numClasses - Number of classes label can take, to be saved with metadata

sc - (undocumented)

path - (undocumented)

numFeatures - (undocumented)

weights - (undocumented)

intercept - (undocumented)

threshold - (undocumented)

loadData

public org.apache.spark.mllib.classification.impl.GLMClassificationModel.SaveLoadV1_0.Data loadData(SparkContext sc,
                                                                                                    String path,
                                                                                                    String modelClass)

Helper method for loading GLM classification model data.

NOTE: Callers of this method should check numClasses, numFeatures on their own.

Parameters:

modelClass - String name for model class (used for error messages)

sc - (undocumented)

path - (undocumented)

Returns:

(undocumented)