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| CHANGELOG | ||
| ========= | ||
| # Changelog | ||
| All notable changes to this project will be documented in this file. | ||
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| This changelog references the relevant changes done in PHP-ML library. | ||
| The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), | ||
| and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). | ||
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| * 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) | ||
| ## [0.7.0] - 2018-11-07 | ||
| ### Added | ||
| - [Clustering] added KMeans associative clustering (#262) | ||
| - [Dataset] added removeColumns function to ArrayDataset (#249) | ||
| - [Dataset] added a SvmDataset class for SVM-Light (or LibSVM) format files (#237) | ||
| - [Dataset] added Mnist Dataset for MNIST file format (#326) | ||
| - [Internal] Add performance test for LeastSquares (#263) | ||
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| * 0.6.2 (2018-02-22) | ||
| * Fix Apriori array keys (#238) | ||
| ### Changed | ||
| - [Internal] implement Keep a Changelog format | ||
| - [Classification] changed the default kernel type in SVC to Kernel::RBF (#267) | ||
| - [Optimizer] removed $initialTheta property and renamed setInitialTheta method to setTheta (#252) | ||
| - [Imputer] Throw exception when trying to transform without train data (#314) | ||
| - [Math] Micro optimization for matrix multiplication (#255) | ||
| - [Internal] Throw proper exception (#259, #251) | ||
| - [MLPClassifier] return labels in output (#315) | ||
| - [Internal] Update phpstan to 0.10.5 (#320) | ||
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| * 0.6.1 (2018-02-18) | ||
| * Fix KMeans and EigenvalueDecomposition (#235) | ||
| ### Fixed | ||
| - [SVM] ensure DataTransformer::testSet samples array is not empty (#204) | ||
| - [Optimizer] optimizer initial theta randomization (#239) | ||
| - [Internal] travis build on osx (#281) | ||
| - [SVM] SVM locale (non-locale aware) (#288) | ||
| - [Internal] typo, tests, code styles and documentation fixes (#265, #261, #254, #253, #251, #250, #248, #245, #243, #317, #328) | ||
| - [Classification] Check if feature exist when predict target in NaiveBayes (#327) | ||
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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) | ||
| ## [0.6.2] - 2018-02-22 | ||
| ### Fixed | ||
| - Fix Apriori array keys (#238) | ||
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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) | ||
| ## [0.6.1] - 2018-02-18 | ||
| ### Fixed | ||
| - Fix KMeans and EigenvalueDecomposition (#235) | ||
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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 | ||
| ## [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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||
| * 0.3.0 (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 | ||
| ## [0.5.0] - 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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| * 0.2.1 (2016-11-20) | ||
| * feature [Association] - Apriori algorithm implementation | ||
| * bug [Metric] - division by zero | ||
| ## [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 | ||
|
|
||
| * 0.2.0 (2016-08-14) | ||
| * feature [NeuralNetwork] - MultilayerPerceptron and Backpropagation training | ||
| ## [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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||
| * 0.1.2 (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 | ||
| ## [0.2.1] - 2016-11-20 | ||
| - feature [Association] - Apriori algorithm implementation | ||
| - bug [Metric] - division by zero | ||
|
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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 | ||
| ## [0.2.0] - 2016-08-14 | ||
| - feature [NeuralNetwork] - MultilayerPerceptron and Backpropagation training | ||
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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 | ||
| ## [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 |