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[SPARK-2309][MLlib] Multinomial Logistic Regression #3833

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[SPARK-2309][MLlib] Multinomial Logistic Regression #3833

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a252197
first commit
Dec 17, 2014
4348426
Addressed feedback from Sean Owen
Jan 14, 2015
f114135
refactoring
Jan 14, 2015
ff843b3
rebase
Feb 2, 2015
4ce4d33
refactoring
Feb 2, 2015
697b7c9
address some feedback
Feb 2, 2015
4e2f354
triger jenkins
Feb 2, 2015
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triger jenkins
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DB Tsai committed Feb 2, 2015
commit 4e2f354d8749b1029eb57e89a6c2343b117907d4
2 changes: 1 addition & 1 deletion mllib/src/main/scala/org/apache/spark/mllib/classification/LogisticRegression.scala
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Expand Up @@ -32,7 +32,7 @@ import org.apache.spark.rdd.RDD
* @param intercept Intercept computed for this model. (Only used in Binary Logistic Regression.
* In Multinomial Logistic Regression, the intercepts will not be a single values,
* so the intercepts will be part of the weights.)
* @param numFeatures the dimension of the features
* @param numFeatures the dimension of the features.
* @param numClasses the number of possible outcomes for k classes classification problem in
* Multinomial Logistic Regression. By default, it is binary logistic regression
* so numClasses will be set to 2.
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