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CHANGELOG.md

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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.

[0.7.0] - 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