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apache
spark
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SPARK-4156 [MLLIB] EM algorithm for GMMs
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SPARK-4156 [MLLIB] EM algorithm for GMMs
#3022
tgaloppo
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Commits
Commits on Oct 30, 2014
SPARK-4156
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Commits on Nov 11, 2014
Merge remote-tracking branch 'upstream/master'
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Made GaussianMixtureModel class serializable
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Commits on Nov 13, 2014
Added scala test suite with basic test
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Commits on Nov 17, 2014
Merge remote-tracking branch 'upstream/master'
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Commits on Nov 18, 2014
Merged with master branch; update test suite with latest context changes.
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Commits on Dec 3, 2014
Fixed to no longer ignore delta value provided on command line
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Added additional train() method to companion object for cluster count and tolerance parameters.
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Commits on Dec 12, 2014
Corrected a variety of style and naming issues.
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Moved multivariate Gaussian utility class to mllib/stat/impl
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Moved MultivariateGaussian utility class
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Commits on Dec 16, 2014
Fixed style issues
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Added predict() to return the cluster labels and membership values
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Merge pull request #1 from FlytxtRnD/predictBranch
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Fixed style issue
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Merge branch 'master' of https://github.com/tgaloppo/spark
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Fixed style issues
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Style issue
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Commits on Dec 17, 2014
Added functionality to allow setting of GMM starting point.
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Removed unusued code
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Replaced accumulators with RDD.aggregate
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Commits on Dec 18, 2014
Numerous changes to improve code
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Moved prediction methods into model class.
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Removed unused import
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Removed redundant array from array creation
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Commits on Dec 19, 2014
Minor fixes and tweaks.
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Commits on Dec 20, 2014
Style improvements
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Commits on Dec 22, 2014
Fixed parameter comment in GaussianMixtureModel
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fixed usage line to include optional maxIterations parameter
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MLUtils: changed privacy of EPSILON from [util] to [mllib]
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