php-ml/CHANGELOG.md

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[0.9.0] - Unreleased

Added

• [Preprocessing] Implement LabelEncoder
• [Preprocessing] Implement ColumnFilter
• [Preprocessing] Implement LambdaTransformer
• [Preprocessing] Implement NumberConverter
• [Preprocessing] Implement OneHotEncoder
• [Workflow] Implement FeatureUnion
• [Metric] Add Regression metrics: meanSquaredError, meanSquaredLogarithmicError, meanAbsoluteError, medianAbsoluteError, r2Score, maxError
• [Regression] Implement DecisionTreeRegressor

[0.8.0] - 2019-03-20

Added

• [Tokenization] Added NGramTokenizer (#350)
• editorconfig file (#355)

Fixed

• [Dataset] FilesDataset read samples without additional array (#363)
• [Tokenization] fixed error with numeric token values (#363)

Changed

• [Math] improved performance with pow and sqrt replacement (#350)
• [Math] reduce duplicated code in distance metrics (#348)
• update phpunit to 7.5.1 (#335)
• code style fixes (#334)

[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)

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)

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)

[0.6.2] - 2018-02-22

Fixed

• Fix Apriori array keys (#238)

[0.6.1] - 2018-02-18

Fixed

• 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