Tags: RomaA2000/daal4py
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Added support for Brownboost, Logistboost as well as Stump regression… … and Stump classification algorithms to daal4py. Added support for Adaboost classification algorithm, including support for method=SAMME or SAMMER for multi-class data. Variable Importance feature has been added in Gradient Boosting Trees. Ability to compute class prediction probabilities has been added to appropriate classifiers, including logistic regression, tree-based classifiers, etc.
Merge pull request uxlfoundation#135 from IntelPython/fix-k-means-n-i… …nit-on-given-initial-array KMeans sklearn API class change
Merge pull request uxlfoundation#128 from IntelPython/fix-tests-again… …st-master Fix tests against master
Merge pull request uxlfoundation#101 from IntelPython/bump-sklearn-ve… …rsion Bump sklearn version
Merge pull request uxlfoundation#48 from IntelPython/feature/print-be… …havior Feature/print behavior
Merge pull request uxlfoundation#36 from SAT/feature/nocopy disallow algorithm copy-construction and assignment, Avoid constant c…