CHANGELOG ========= This changelog references the relevant changes done in PHP-ML library. * Unreleased * feature [Dataset] changed the default kernel type in SVC to Kernel::RBF (#267) * feature [Clustering] added KMeans associative clustering (#262) * feature [Dataset] added removeColumns function to ArrayDataset (#249) * feature [Dataset] added a SvmDataset class for SVM-Light (or LibSVM) format files (#237) * feature [Optimizer] removed $initialTheta property and renamed setInitialTheta method to setTheta (#252) * change [Imputer] Throw exception when trying to transform without train data (#314) * enhancement Add performance test for LeastSquares (#263) * enhancement Micro optimization for matrix multiplication (#255) * enhancement Throw proper exception (#259, #251) * fix ensure DataTransformer::testSet samples array is not empty (#204) * fix optimizer initial theta randomization (#239) * fix travis build on osx (#281) * fix SVM locale (non-locale aware) (#288) * typo, tests, code styles and documentation fixes (#265, #261, #254, #253, #251, #250, #248, #245, #243) * change [MLPClassifier] return labels in output (#315) * enhancement Update phpstan to 0.10.5 (#320) * 0.6.2 (2018-02-22) * Fix Apriori array keys (#238) * 0.6.1 (2018-02-18) * Fix KMeans and EigenvalueDecomposition (#235) * 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) * 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) * 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 * 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 * 0.2.1 (2016-11-20) * feature [Association] - Apriori algorithm implementation * bug [Metric] - division by zero * 0.2.0 (2016-08-14) * feature [NeuralNetwork] - MultilayerPerceptron and Backpropagation training * 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 * 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 * 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