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[Spark-7780][MLLIB] Intercept in logisticregressionwith lbfgs should not be regularized #6386
Commits on May 24, 2015
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Keep track of the number of requested classes so that if its more tha…
…n 2 we use the legacy implementation. Also allow pass through of initialWeights
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Expose a train on instances method within Spark, use numOfLinearPredi…
…ctors instead of keeping track of class variable, pass through persistence information
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CR feedback, pass RDD of Labeled points to ml implemetnation. Also fr…
…om tests require that feature scaling is turned on to use ml implementation.
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Commits on May 25, 2015
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Commits on May 26, 2015
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CR feedback: make the setInitialWeights function private, don't mess …
…with the weights when they are user supploed, validate that the user supplied weights are reasonable.
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Commits on Jun 2, 2015
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Copy the number of iterations, convergence tolerance, and if we are f…
…itting an intercept from mllib to ml when training lbfgs model using ml code
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Commits on Jun 3, 2015
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Commits on Jun 8, 2015
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Commits on Jul 9, 2015
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Commits on Aug 28, 2015
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Commits on Oct 1, 2015
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Commits on Oct 2, 2015
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Commits on Dec 30, 2015
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Merge branch 'master' into SPARK-7780-intercept-in-logisticregression…
…withLBFGS-should-not-be-regularized
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