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Update changelog (#152)

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Arkadiusz Kondas 2017-11-14 21:40:46 +01:00 committed by GitHub
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@ -3,6 +3,32 @@ CHANGELOG
This changelog references the relevant changes done in PHP-ML library. This changelog references the relevant changes done in PHP-ML library.
* 0.5.0 (2017-11-14)
* general [php] Upgrade to PHP 7.1 (#150)
* general [coding standard] fix imports order and drop unused docs typehints
* feature [NeuralNetwork] Add PReLU activation function (#128)
* feature [NeuralNetwork] Add ThresholdedReLU activation function (#129)
* feature [Dataset] Support CSV with long lines (#119)
* feature [NeuralNetwork] Neural networks partial training and persistency (#91)
* feature Add french stopwords (#92)
* feature New methods: setBinPath, setVarPath in SupportVectorMachine (#73)
* feature Linear Discrimant Analysis (LDA) (#82)
* feature Linear algebra operations, Dimensionality reduction and some other minor changes (#81)
* feature Partial training base (#78)
* feature Add delimiter option for CsvDataset (#66)
* feature LogisticRegression classifier & Optimization methods (#63)
* feature Additional training for SVR (#59)
* optimization Comparison - replace eval (#130)
* optimization Use C-style casts (#124)
* optimization Speed up DataTransformer (#122)
* bug DBSCAN fix for associative keys and array_merge performance optimization (#139)
* bug Ensure user-provided SupportVectorMachine paths are valid (#126)
* bug [DecisionTree] Fix string cast #120 (#121)
* bug fix invalid typehint for subs method (#110)
* bug Fix samples transformation in Pipeline training (#94)
* bug Fix division by 0 error during normalization (#83)
* bug Fix wrong docs references (#79)
* 0.4.0 (2017-02-23) * 0.4.0 (2017-02-23)
* feature [Classification] - Ensemble Classifiers : Bagging and RandomForest by Mustafa Karabulut * feature [Classification] - Ensemble Classifiers : Bagging and RandomForest by Mustafa Karabulut
* feature [Classification] - RandomForest::getFeatureImportances() method by Mustafa Karabulut * feature [Classification] - RandomForest::getFeatureImportances() method by Mustafa Karabulut