Commit Graph

42 Commits

Author SHA1 Message Date
Tomáš Votruba
f4650c696c [coding standard] fix imports order and drop unused docs typehints (#145)
* fix imports order

* drop unused docs typehints, make use of return types where possible
2017-11-06 08:56:37 +01:00
Marcin Michalski
11d05ce89d Comparison - replace eval (#130)
* Replace eval with strategy

* Use Factory Pattern, add tests

* Add missing dockblocks

* Replace strategy with simple object
2017-10-24 18:59:12 +02:00
Marcin Michalski
ba2b8c8a9c Use C-style casts (#124) 2017-09-02 21:41:06 +02:00
Marcin Michalski
3e2708de17 Fix #120 (#121)
* Fix #120

* Add DecisionTreeLeafTest
2017-08-28 13:00:24 +02:00
Marcin Michalski
3ac658c397 php-cs-fixer - more rules (#118)
* Add new cs-fixer rules and run them

* Do not align double arrows/equals
2017-08-17 08:50:37 +02:00
Ante Lucic
07041ec608 Run newest php-cs-fixer (#108) 2017-07-26 08:24:47 +02:00
Ante Lucic
08d974bb4c Add missing @throws and @param docblocks (#107) 2017-07-26 08:22:12 +02:00
David Monllaó
de50490154 Neural networks partial training and persistency (#91)
* Neural networks partial training and persistency

* cs fixes

* Add partialTrain to nn docs

* Test for invalid partial training classes provided
2017-05-23 09:03:05 +02:00
David Monllaó
4af8449b1c Neural networks improvements (#89)
* MultilayerPerceptron interface changes

- Signature closer to other algorithms
- New predict method
- Remove desired error
- Move maxIterations to constructor

* MLP tests for multiple hidden layers and multi-class

* Update all MLP-related tests

* coding style fixes

* Backpropagation included in multilayer-perceptron
2017-05-18 00:07:14 +02:00
Marcin Michalski
7ab80b6e56 Code Style (#86)
* Code Style

* Code Review fixes
2017-05-17 09:03:25 +02:00
Arkadiusz Kondas
6296e44db0 cs fixer 2017-04-19 22:28:07 +02:00
David Monllaó
e1854d44a2 Partial training base (#78)
* Cost values for multiclass OneVsRest uses

* Partial training interface

* Reduce linear classifiers memory usage

* Testing partial training and isolated training

* Partial trainer naming switched to incremental estimator

Other changes according to review's feedback.

* Clean optimization data once optimize is finished

* Abstract resetBinary
2017-04-19 22:26:31 +02:00
Mustafa Karabulut
49234429f0 LogisticRegression classifier & Optimization methods (#63)
* LogisticRegression classifier & Optimization methods

* Minor fixes to Logistic Regression & Optimizers PR

* Addition for getCostValues() method
2017-03-27 23:46:53 +02:00
Arkadiusz Kondas
39747efdc1 Update dependecies and coding style fixes 2017-03-05 16:45:48 +01:00
Arkadiusz Kondas
c6fbb83573 Add typehints to DecisionTree 2017-03-05 16:25:01 +01:00
Mustafa Karabulut
01bb82a2a7 One-v-Rest Classification technique applied to linear classifiers (#54)
* One-v-Rest Classification technique applied to linear classifiers

* Fix for Apriori

* Fixes for One-v-Rest

* One-v-Rest test cases
2017-03-05 09:43:19 +01:00
Arkadiusz Kondas
63c63dfba2 Add no_unused_imports rule to cs-fixer 2017-03-01 10:16:15 +01:00
Mustafa Karabulut
c028a73985 AdaBoost improvements (#53)
* AdaBoost improvements

* AdaBoost improvements & test case resolved

* Some coding style fixes
2017-02-28 21:45:18 +01:00
Mustafa Karabulut
4daa0a222a AdaBoost algorithm along with some improvements (#51) 2017-02-21 10:38:18 +01:00
Mustafa Karabulut
cf222bcce4 Linear classifiers: Perceptron, Adaline, DecisionStump (#50)
* Linear classifiers

* Code formatting to PSR-2

* Added basic test cases for linear classifiers
2017-02-16 23:23:55 +01:00
Mustafa Karabulut
a33d5fe9c8 RandomForest::getFeatureImportances() method (#47)
* RandomForest::getFeatureImportances() method

* CsvDataset update for column names
2017-02-13 21:23:18 +01:00
Mustafa Karabulut
1d73503958 Ensemble Classifiers : Bagging and RandomForest (#36)
* Fuzzy C-Means implementation

* Update FuzzyCMeans

* Rename FuzzyCMeans to FuzzyCMeans.php

* Update NaiveBayes.php

* Small fix applied to improve training performance

array_unique is replaced with array_count_values+array_keys which is way
faster

* Revert "Small fix applied to improve training performance"

This reverts commit c20253f16ac3e8c37d33ecaee28a87cc767e3b7f.

* Revert "Revert "Small fix applied to improve training performance""

This reverts commit ea10e136c4c11b71609ccdcaf9999067e4be473e.

* Revert "Small fix applied to improve training performance"

This reverts commit c20253f16ac3e8c37d33ecaee28a87cc767e3b7f.

* First DecisionTree implementation

* Revert "First DecisionTree implementation"

This reverts commit 4057a08679c26010c39040a48a3e6dad994a1a99.

* DecisionTree

* FCM Test

* FCM Test

* DecisionTree Test

* Ensemble classifiers: Bagging and RandomForests

* test

* Fixes for conflicted files

* Bagging and RandomForest ensemble algorithms

* Changed unit test

* Changed unit test

* Changed unit test

* Bagging and RandomForest ensemble algorithms

* Baggging and RandomForest ensemble algorithms

* Bagging and RandomForest ensemble algorithms

RandomForest algorithm is improved with changes to original DecisionTree

* Bagging and RandomForest ensemble algorithms

* Slight fix about use of global Exception class

* Fixed the error about wrong use of global Exception class

* RandomForest code formatting
2017-02-07 12:37:56 +01:00
David Monllaó
c1b1a5d6ac Support for multiple training datasets (#38)
* Multiple training data sets allowed

* Tests with multiple training data sets

* Updating docs according to #38

Documenting all models which predictions will be based on all
training data provided.

Some models already supported multiple training data sets.
2017-02-01 19:06:38 +01:00
Arkadiusz Kondas
c3686358b3 Add rules for new cs-fixer 2017-01-31 20:33:08 +01:00
Mustafa Karabulut
87396ebe58 DecisionTree and Fuzzy C Means classifiers (#35)
* Fuzzy C-Means implementation

* Update FuzzyCMeans

* Rename FuzzyCMeans to FuzzyCMeans.php

* Update NaiveBayes.php

* Small fix applied to improve training performance

array_unique is replaced with array_count_values+array_keys which is way
faster

* Revert "Small fix applied to improve training performance"

This reverts commit c20253f16ac3e8c37d33ecaee28a87cc767e3b7f.

* Revert "Revert "Small fix applied to improve training performance""

This reverts commit ea10e136c4c11b71609ccdcaf9999067e4be473e.

* Revert "Small fix applied to improve training performance"

This reverts commit c20253f16ac3e8c37d33ecaee28a87cc767e3b7f.

* DecisionTree

* FCM Test

* FCM Test

* DecisionTree Test
2017-01-31 20:27:15 +01:00
Arkadiusz Kondas
d19ddb8507 Apply cs fixes for NaiveBayes 2017-01-17 16:26:43 +01:00
Mustafa Karabulut
e603d60841 Update NaiveBayes.php (#30)
* Update NaiveBayes.php

* Update NaiveBayes.php

* Update NaiveBayes.php

Update to fix "predictSample" function to enable it handle samples given as multi-dimensional arrays.

* Update NaiveBayes.php

* Update NaiveBayes.php
2017-01-17 16:21:58 +01:00
Arkadiusz Kondas
cbdc049526 Update php-cs-fixer 2016-11-20 22:53:17 +01:00
Arkadiusz Kondas
adc2d1c81b change hhvm to 3.12 2016-07-07 23:38:11 +02:00
Arkadiusz Kondas
f3288c5946 fix scalar typehint for hhvm 2016-07-07 23:33:06 +02:00
Arkadiusz Kondas
be7693ff2e remove osx from travis - dont work with php 7.0 2016-06-30 23:27:17 +02:00
Arkadiusz Kondas
374182a6d4 simple pipeline test 2016-06-16 09:58:12 +02:00
Arkadiusz Kondas
cab79e7e36 change interfaces and add Estimator and Pipeline 2016-06-16 09:00:10 +02:00
Arkadiusz Kondas
430c1078cf implement support vector regression 2016-05-07 23:04:58 +02:00
Arkadiusz Kondas
c409658483 support vector classifier implementation 2016-05-07 22:17:12 +02:00
Arkadiusz Kondas
95caef8692 start to implement SVM with libsvm 2016-05-05 23:29:11 +02:00
Arkadiusz Kondas
71400cc1e6 svm 2016-05-05 21:57:25 +02:00
Arkadiusz Kondas
24fc917d6a php-cs-fixer 2016-05-04 21:30:40 +02:00
Arkadiusz Kondas
791a54068b update composer 2016-05-04 21:29:26 +02:00
Arkadiusz Kondas
f7b91bea72 change Classifier namespace to Classification 2016-04-30 23:45:21 +02:00
Arkadiusz Kondas
040ae0fbb0 create Classifire interface 2016-02-09 07:45:07 +01:00
Arkadiusz Kondas
97e3f82c6e create first class :) 2016-02-08 23:20:08 +01:00