* Add test for svm model with probability estimation
* Extract buildPredictCommand method
* Fix test to use PHP_EOL
* Add predictProbability method (not completed)
* Add test for DataTransformer::predictions
* Fix SVM to use PHP_EOL
* Support probability estimation in SVM
* Add documentation
* Add InvalidOperationException class
* Throw InvalidOperationException before executing libsvm if probability estimation is not supported
* ability to specify per-layer activation function
* some tests for new addition to layer
* appease style CI whitespace issue
* more flexible addition of layers, and developer can pass Layer object in manually
* new test for layer object in mlp constructor
* documentation for added MLP functionality
* Update NaiveBayes.php
This fixes an issue using string labels that are string representations of integers, e.g. "1998" getting cast to (int)1998.
* Update NaiveBayes.php
fixes superfluous whitespace error
* added tests for naive bayes with numeric labels
* added array_unique
* nested array_flips for speed
* nested the array flips inside the array map
* to appear style CI test
- Backpropagation using the neuron activation functions derivative
- instead of hardcoded sigmoid derivative
- Added missing activation functions derivatives
- Sigmoid forced for the output layer
- Updated ThresholdedReLU default threshold to 0 (acts as a ReLU)
- Unit tests for derivatives
- Unit tests for classifiers using different activation functions
- Added missing docs
* Fix target value of LogisticRegression
* Fix probability calculation in LogisticRegression
* Change the default cost function to log-likelihood
* Remove redundant round function
* Fix for coding standard
* tests: update to PHPUnit 6.0 with rector
* [cs] clean empty docs
* composer: bump to PHPUnit 6.4
* tests: use class references over strings
* cleanup
* travis: move coveralls here, decouple from package
* composer: use PSR4
* phpunit: simpler config
* travis: add ecs run
* composer: add ecs dev
* use standard vendor/bin directory for dependency bins, confuses with local bins and require gitignore handling
* ecs: add PSR2
* [cs] PSR2 spacing fixes
* [cs] PSR2 class name fix
* [cs] PHP7 fixes - return semicolon spaces, old rand functions, typehints
* [cs] fix less strict typehints
* fix typehints to make tests pass
* ecs: ignore typehint-less elements
* [cs] standardize arrays
* [cs] standardize docblock, remove unused comments
* [cs] use self where possible
* [cs] sort class elements, from public to private
* [cs] do not use yoda (found less yoda-cases, than non-yoda)
* space
* [cs] do not assign in condition
* [cs] use namespace imports if possible
* [cs] use ::class over strings
* [cs] fix defaults for arrays properties, properties and constants single spacing
* cleanup ecs comments
* [cs] use item per line in multi-items array
* missing line
* misc
* rebase
* Linear Discrimant Analysis (LDA)
* LDA test file
* Matrix inverse via LUDecomposition
* LUDecomposition inverse() and det() applied
* Readme update for LDA
* Lineer Algebra operations
* Covariance
* PCA and KernelPCA
* Tests for PCA, Eigenvalues and Covariance
* KernelPCA update
* KernelPCA and its test
* KernelPCA and its test
* MatrixTest, KernelPCA and PCA tests
* Readme update
* Readme update
* 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
* 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
* 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.
* 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
### Features
* Works only with primitive types int, float, string
* Implements set theortic operations union, intersection, complement
* Modifies set by adding, removing elements
* Implements \IteratorAggregate for use in loops
### Implementation details
Based on array functions:
* array_diff,
* array_merge,
* array_intersection,
* array_unique,
* array_values,
* sort.
### Drawbacks
* **Do not work with objects.**
* Power set and Cartesian product returning array of Set
* Remove user-specific gitignore
* Add return type hints
* Avoid global namespace in docs
* Rename rules -> getRules
* Split up rule generation
Todo:
* Move set theory out to math
* Extract rule generation
* Generating frequent k-length item sets
* Generating rules based on frequent item sets
* Algorithm has exponential complexity, be aware of it
* Apriori algorithm is split into apriori and candidates method
* Second step rule generation is implemented by rules method
* Internal methods are invoked for fine grain unit tests
* Wikipedia's train samples and an alternative are provided for test cases
* Small documentation for public interface is also shipped
Yuji Uchiyama
Arkadiusz Kondas
Andreas Möller
Jonathan Baldie
Marcin Michalski
David Monllaó
Tomáš Votruba
Maxim Kasatkin
Ante Lucic
Maxime COLIN
Mustafa Karabulut
Povilas Susinskas
Patrick Florek
Pablo Joán Iglesias