* 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
* Add support for coveralls.io
* Generate coverage report only on php 7.2 build
* Fix osx travis build and move tools to bin dir
* Update php version badge
* Fix travis conditional statement
* Fix travis conditional statement
* 🤦 fix bin path
I tried copying the sample code as it is but did not do what I assumed.
Specifically, it is as follows.
- It does not work without `require_once`
- I can not check the output if it is `return`
I modified the README.md.
I think that this one is better.
Because you can use it as soon as you copy it.
* 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
* additional training SVR
* additional training SVR, missed old labels reference
* SVM labels parameter now targets
* SVM member labels now targets
* SVM init targets empty array
