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5.2 KiB
5.2 KiB
CHANGELOG
This changelog references the relevant changes done in PHP-ML library.
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0.6.2 (2018-02-22)
- Fix Apriori array keys (#238)
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0.6.1 (2018-02-18)
- Fix KMeans and EigenvalueDecomposition (#235)
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0.6.0 (2018-02-16)
- feature [FeatureSelection] implement SelectKBest with scoring functions (#232)
- feature [FeatureSelection] implement VarianceThreshold - simple baseline approach to feature selection. (#228)
- feature [Classification] support probability estimation in SVC (#218)
- feature [NeuralNetwork] configure an Activation Function per hidden layer (#208)
- feature [NeuralNetwork] Ability to update learningRate in MLP (#160)
- feature [Metric] Choose averaging method in classification report (#205)
- enhancement Add phpstan strict rules (#233)
- enhancement Flatten directory structure (#220)
- enhancement Update phpunit/phpunit (#219)
- enhancement Cache dependencies installed with composer on Travis (#215)
- enhancement Add support for coveralls.io (#153)
- enhancement Add phpstan and easy coding standards (#156, #168)
- enhancement Throw exception when libsvm command fails to run (#200, #202)
- enhancement Normalize composer.json and sort packages (#214, #210)
- enhancement Rewrite DBSCAN (#185)
- fix phpunit include tests path (#230)
- fix support of a rule in Apriori (#229)
- fix apriori generates an empty array as a part of the frequent item sets (#224)
- fix backpropagation random error (#157)
- fix logistic regression implementation (#169)
- fix activation functions support (#163)
- fix string representation of integer labels issue in NaiveBayes (#206)
- fix the implementation of conjugate gradient method (#184)
- typo, tests and documentation fixes (#234, #221, #181, #183, #155, #159, #165, #187, #154, #191, #203, #209, #213, #212, #211)
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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)
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0.4.0 (2017-02-23)
- feature [Classification] - Ensemble Classifiers : Bagging and RandomForest by Mustafa Karabulut
- feature [Classification] - RandomForest::getFeatureImportances() method by Mustafa Karabulut
- feature [Classification] - Linear classifiers: Perceptron, Adaline, DecisionStump by Mustafa Karabulut
- feature [Classification] - AdaBoost algorithm by Mustafa Karabulut
- bug [Math] - Check if matrix is singular doing inverse by Povilas Susinskas
- optimization - Euclidean optimization by Mustafa Karabulut
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0.3.0 (2017-02-04)
- feature [Persistency] - ModelManager - save and restore trained models by David Monllaó
- feature [Classification] - DecisionTree implementation by Mustafa Karabulut
- feature [Clustering] - Fuzzy C Means implementation by Mustafa Karabulut
- other small fixes and code styles refactors
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0.2.1 (2016-11-20)
- feature [Association] - Apriori algorithm implementation
- bug [Metric] - division by zero
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0.2.0 (2016-08-14)
- feature [NeuralNetwork] - MultilayerPerceptron and Backpropagation training
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0.1.2 (2016-07-24)
- feature [Dataset] - FilesDataset - load dataset from files (folder names as targets)
- feature [Metric] - ClassificationReport - report about trained classifier
- bug [Feature Extraction] - fix problem with token count vectorizer array order
- tests [General] - add more tests for specific conditions
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0.1.1 (2016-07-12)
- feature [Cross Validation] Stratified Random Split - equal distribution for targets in split
- feature [General] Documentation - add missing pages (Pipeline, ConfusionMatrix and TfIdfTransformer) and fix links
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0.1.0 (2016-07-08)
- first develop release
- base tools for Machine Learning: Algorithms, Cross Validation, Preprocessing, Feature Extraction
- bug [General] #7 - PHP-ML doesn't work on Mac