mirror of
https://github.com/Llewellynvdm/php-ml.git
synced 2024-11-25 06:17:34 +00:00
99 lines
5.2 KiB
Markdown
99 lines
5.2 KiB
Markdown
CHANGELOG
|
|
=========
|
|
|
|
This changelog references the relevant changes done in PHP-ML library.
|
|
|
|
* 0.6.2 (2018-02-22)
|
|
* Fix Apriori array keys (#238)
|
|
|
|
* 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
|