2018-11-07 18:40:31 +00:00
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# Changelog
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All notable changes to this project will be documented in this file.
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2016-07-11 19:12:49 +00:00
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2018-11-07 18:40:31 +00:00
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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2016-07-11 19:12:49 +00:00
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2019-05-15 06:00:46 +00:00
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## [0.9.0] - Unreleased
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2019-04-02 09:07:00 +00:00
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### Added
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- [Preprocessing] Implement LabelEncoder
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2019-05-15 06:00:46 +00:00
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- [Preprocessing] Implement ColumnFilter
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- [Preprocessing] Implement LambdaTransformer
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- [Preprocessing] Implement NumberConverter
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- [Preprocessing] Implement OneHotEncoder
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- [Workflow] Implement FeatureUnion
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- [Metric] Add Regression metrics: meanSquaredError, meanSquaredLogarithmicError, meanAbsoluteError, medianAbsoluteError, r2Score, maxError
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- [Regression] Implement DecisionTreeRegressor
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2019-04-02 09:07:00 +00:00
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2019-03-20 22:22:45 +00:00
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## [0.8.0] - 2019-03-20
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### Added
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- [Tokenization] Added NGramTokenizer (#350)
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- editorconfig file (#355)
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### Fixed
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- [Dataset] FilesDataset read samples without additional array (#363)
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- [Tokenization] fixed error with numeric token values (#363)
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### Changed
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- [Math] improved performance with pow and sqrt replacement (#350)
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- [Math] reduce duplicated code in distance metrics (#348)
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- update phpunit to 7.5.1 (#335)
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- code style fixes (#334)
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2018-11-07 18:40:31 +00:00
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## [0.7.0] - 2018-11-07
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### Added
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- [Clustering] added KMeans associative clustering (#262)
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- [Dataset] added removeColumns function to ArrayDataset (#249)
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- [Dataset] added a SvmDataset class for SVM-Light (or LibSVM) format files (#237)
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- [Dataset] added Mnist Dataset for MNIST file format (#326)
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- [Internal] Add performance test for LeastSquares (#263)
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2018-03-28 05:38:22 +00:00
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2018-11-07 18:40:31 +00:00
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### Changed
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- [Internal] implement Keep a Changelog format
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- [Classification] changed the default kernel type in SVC to Kernel::RBF (#267)
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- [Optimizer] removed $initialTheta property and renamed setInitialTheta method to setTheta (#252)
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- [Imputer] Throw exception when trying to transform without train data (#314)
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- [Math] Micro optimization for matrix multiplication (#255)
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- [Internal] Throw proper exception (#259, #251)
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- [MLPClassifier] return labels in output (#315)
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- [Internal] Update phpstan to 0.10.5 (#320)
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2018-02-22 16:06:31 +00:00
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2018-11-07 18:40:31 +00:00
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### Fixed
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- [SVM] ensure DataTransformer::testSet samples array is not empty (#204)
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- [Optimizer] optimizer initial theta randomization (#239)
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- [Internal] travis build on osx (#281)
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- [SVM] SVM locale (non-locale aware) (#288)
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- [Internal] typo, tests, code styles and documentation fixes (#265, #261, #254, #253, #251, #250, #248, #245, #243, #317, #328)
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- [Classification] Check if feature exist when predict target in NaiveBayes (#327)
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2018-02-17 23:11:54 +00:00
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2018-11-07 18:40:31 +00:00
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## [0.6.2] - 2018-02-22
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### Fixed
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- Fix Apriori array keys (#238)
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2018-02-16 19:41:37 +00:00
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2018-11-07 18:40:31 +00:00
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## [0.6.1] - 2018-02-18
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### Fixed
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- Fix KMeans and EigenvalueDecomposition (#235)
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2017-11-14 20:40:46 +00:00
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2018-11-07 18:40:31 +00:00
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## [0.6.0] - 2018-02-16
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- feature [FeatureSelection] implement SelectKBest with scoring functions (#232)
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- feature [FeatureSelection] implement VarianceThreshold - simple baseline approach to feature selection. (#228)
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- feature [Classification] support probability estimation in SVC (#218)
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- feature [NeuralNetwork] configure an Activation Function per hidden layer (#208)
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- feature [NeuralNetwork] Ability to update learningRate in MLP (#160)
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- feature [Metric] Choose averaging method in classification report (#205)
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- enhancement Add phpstan strict rules (#233)
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- enhancement Flatten directory structure (#220)
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- enhancement Update phpunit/phpunit (#219)
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- enhancement Cache dependencies installed with composer on Travis (#215)
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- enhancement Add support for coveralls.io (#153)
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- enhancement Add phpstan and easy coding standards (#156, #168)
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- enhancement Throw exception when libsvm command fails to run (#200, #202)
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- enhancement Normalize composer.json and sort packages (#214, #210)
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- enhancement Rewrite DBSCAN (#185)
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- fix phpunit include tests path (#230)
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- fix support of a rule in Apriori (#229)
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- fix apriori generates an empty array as a part of the frequent item sets (#224)
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- fix backpropagation random error (#157)
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- fix logistic regression implementation (#169)
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- fix activation functions support (#163)
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- fix string representation of integer labels issue in NaiveBayes (#206)
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- fix the implementation of conjugate gradient method (#184)
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- typo, tests and documentation fixes (#234, #221, #181, #183, #155, #159, #165, #187, #154, #191, #203, #209, #213, #212, #211)
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2016-11-20 21:53:17 +00:00
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2018-11-07 18:40:31 +00:00
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## [0.5.0] - 2017-11-14
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- general [php] Upgrade to PHP 7.1 (#150)
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- general [coding standard] fix imports order and drop unused docs typehints
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- feature [NeuralNetwork] Add PReLU activation function (#128)
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- feature [NeuralNetwork] Add ThresholdedReLU activation function (#129)
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- feature [Dataset] Support CSV with long lines (#119)
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- feature [NeuralNetwork] Neural networks partial training and persistency (#91)
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- feature Add french stopwords (#92)
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- feature New methods: setBinPath, setVarPath in SupportVectorMachine (#73)
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- feature Linear Discrimant Analysis (LDA) (#82)
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- feature Linear algebra operations, Dimensionality reduction and some other minor changes (#81)
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- feature Partial training base (#78)
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- feature Add delimiter option for CsvDataset (#66)
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- feature LogisticRegression classifier & Optimization methods (#63)
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- feature Additional training for SVR (#59)
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- optimization Comparison - replace eval (#130)
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- optimization Use C-style casts (#124)
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- optimization Speed up DataTransformer (#122)
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- bug DBSCAN fix for associative keys and array_merge performance optimization (#139)
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- bug Ensure user-provided SupportVectorMachine paths are valid (#126)
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- bug [DecisionTree] Fix string cast #120 (#121)
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- bug fix invalid typehint for subs method (#110)
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- bug Fix samples transformation in Pipeline training (#94)
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- bug Fix division by 0 error during normalization (#83)
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- bug Fix wrong docs references (#79)
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2017-02-03 16:54:41 +00:00
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2018-11-07 18:40:31 +00:00
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## [0.4.0] - 2017-02-23
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- feature [Classification] - Ensemble Classifiers : Bagging and RandomForest by Mustafa Karabulut
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- feature [Classification] - RandomForest::getFeatureImportances() method by Mustafa Karabulut
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- feature [Classification] - Linear classifiers: Perceptron, Adaline, DecisionStump by Mustafa Karabulut
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- feature [Classification] - AdaBoost algorithm by Mustafa Karabulut
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- bug [Math] - Check if matrix is singular doing inverse by Povilas Susinskas
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- optimization - Euclidean optimization by Mustafa Karabulut
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2016-08-14 16:35:17 +00:00
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2018-11-07 18:40:31 +00:00
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## [0.3.0] - 2017-02-04
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- feature [Persistency] - ModelManager - save and restore trained models by David Monllaó
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- feature [Classification] - DecisionTree implementation by Mustafa Karabulut
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- feature [Clustering] - Fuzzy C Means implementation by Mustafa Karabulut
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- other small fixes and code styles refactors
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2016-07-24 11:52:52 +00:00
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2018-11-07 18:40:31 +00:00
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## [0.2.1] - 2016-11-20
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- feature [Association] - Apriori algorithm implementation
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- bug [Metric] - division by zero
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2016-07-11 22:11:18 +00:00
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2018-11-07 18:40:31 +00:00
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## [0.2.0] - 2016-08-14
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- feature [NeuralNetwork] - MultilayerPerceptron and Backpropagation training
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2016-07-11 19:12:49 +00:00
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2018-11-07 18:40:31 +00:00
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## [0.1.2] - 2016-07-24
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- feature [Dataset] - FilesDataset - load dataset from files (folder names as targets)
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- feature [Metric] - ClassificationReport - report about trained classifier
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- bug [Feature Extraction] - fix problem with token count vectorizer array order
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- tests [General] - add more tests for specific conditions
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## [0.1.1] - 2016-07-12
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- feature [Cross Validation] Stratified Random Split - equal distribution for targets in split
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- feature [General] Documentation - add missing pages (Pipeline, ConfusionMatrix and TfIdfTransformer) and fix links
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## [0.1.0] - 2016-07-08
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- first develop release
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- base tools for Machine Learning: Algorithms, Cross Validation, Preprocessing, Feature Extraction
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- bug [General] #7 - PHP-ML doesn't work on Mac
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