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php-ml/CHANGELOG.md
Arkadiusz Kondas 8aed3b9286
Prepare CHANGELOG for next fix release
2018-02-18 00:11:54 +01:00

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CHANGELOG

This changelog references the relevant changes done in PHP-ML library.

  • 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