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Add PHPStan and level to max (#168) 

* tests: update to PHPUnit 6.0 with rector

* fix namespaces on tests

* composer + tests: use standard test namespace naming

* update travis

* resolve conflict

* phpstan lvl 2

* phpstan lvl 3

* phpstan lvl 4

* phpstan lvl 5

* phpstan lvl 6

* phpstan lvl 7

* level max

* resolve conflict

* [cs] clean empty docs

* composer: bump to PHPUnit 6.4

* cleanup

* composer + travis: add phpstan

* phpstan lvl 1

* composer: update dev deps

* phpstan fixes

* update Contributing with new tools

* docs: link fixes, PHP version update

* composer: drop php-cs-fixer, cs already handled by ecs

* ecs: add old set rules

* [cs] apply rest of rules
This commit is contained in:
Tomáš Votruba 2018-01-06 13:09:33 +01:00 committed by Arkadiusz Kondas
parent fbbe5c5761
commit a348111e97
103 changed files with 365 additions and 284 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

32
.php_cs
View File

@ -1,32 +0,0 @@
<?php
return PhpCsFixer\Config::create()
->setRules([
'@PSR2' => true,
'array_syntax' => ['syntax' => 'short'],
'binary_operator_spaces' => ['align_double_arrow' => false, 'align_equals' => false],
'blank_line_after_opening_tag' => true,
'blank_line_before_return' => true,
'cast_spaces' => true,
'concat_space' => ['spacing' => 'none'],
'declare_strict_types' => true,
'method_separation' => true,
'no_blank_lines_after_class_opening' => true,
'no_spaces_around_offset' => ['positions' => ['inside', 'outside']],
'no_unneeded_control_parentheses' => true,
'no_unused_imports' => true,
'phpdoc_align' => true,
'phpdoc_no_access' => true,
'phpdoc_separation' => true,
'pre_increment' => true,
'single_quote' => true,
'trim_array_spaces' => true,
'single_blank_line_before_namespace' => true,
])
->setFinder(
PhpCsFixer\Finder::create()
->in(__DIR__ . '/src')
->in(__DIR__ . '/tests')
)
->setRiskyAllowed(true)
->setUsingCache(false);

1
.travis.yml
View File

@ -31,6 +31,7 @@ install:
script:
- vendor/bin/phpunit $PHPUNIT_FLAGS
- if [[ $STATIC_ANALYSIS != "" ]]; then vendor/bin/ecs check src tests; fi
- if [[ $STATIC_ANALYSIS != "" ]]; then vendor/bin/phpstan.phar analyse src tests --level max --configuration phpstan.neon; fi
after_success:
- |

27
CONTRIBUTING.md
View File

@ -6,31 +6,40 @@ code base clean, unified and future proof.
## Branch
You should only open pull requests against the master branch.
You should only open pull requests against the `master` branch.
## Unit-Tests
Please try to add a test for your pull-request. You can run the unit-tests by calling:
```
bin/phpunit
```bash
vendor/bin/phpunit
```
## Travis
GitHub automatically run your pull request through Travis CI against PHP 7.
If you break the tests, I cannot merge your code, so please make sure that your code is working
before opening up a Pull-Request.
GitHub automatically run your pull request through Travis CI.
If you break the tests, I cannot merge your code, so please make sure that your code is working before opening up a Pull-Request.
## Merge
Please allow me time to review your pull requests. I will give my best to review everything as fast as possible, but cannot always live up to my own expectations.
## Coding Standards
## Coding Standards & Static Analysis
When contributing code to PHP-ML, you must follow its coding standards. It's as easy as executing `./bin/php-cs-fixer fix` in root directory.
When contributing code to PHP-ML, you must follow its coding standards. To do that, just run:
```bash
vendor/bin/ecs check src tests --fix
```
[More about EasyCodingStandard](https://github.com/Symplify/EasyCodingStandard)
Code has to also pass static analysis by [PHPStan](https://github.com/phpstan/phpstan):
```bash
vendor/bin/phpstan.phar analyse src tests --level max --configuration phpstan.neon
```
More about PHP-CS-Fixer: [http://cs.sensiolabs.org/](http://cs.sensiolabs.org/)
## Documentation

23
composer.json
View File

@ -11,19 +11,24 @@
"email": "arkadiusz.kondas@gmail.com"
}
],
"autoload": {
"psr-4": {
"Phpml\\": "src/Phpml"
}
},
"require": {
"php": "^7.1"
},
"require-dev": {
"phpunit/phpunit": "^6.4",
"friendsofphp/php-cs-fixer": "^2.4",
"symplify/easy-coding-standard": "dev-master as 2.5",
"symplify/coding-standard": "dev-master as 2.5",
"symplify/package-builder": "dev-master#3604bea as 2.5"
"symplify/easy-coding-standard": "v3.0.0-RC3",
"symplify/coding-standard": "v3.0.0-RC3",
"symplify/package-builder": "v3.0.0-RC3",
"phpstan/phpstan-shim": "^0.8"
},
"autoload": {
"psr-4": {
"Phpml\\": "src/Phpml"
}
},
"autoload-dev": {
"psr-4": {
"Phpml\\Tests\\": "tests/Phpml"
}
}
}

184
composer.lock generated
View File

@ -4,7 +4,7 @@
"Read more about it at https://getcomposer.org/doc/01-basic-usage.md#composer-lock-the-lock-file",
"This file is @generated automatically"
],
"content-hash": "0b709f785c1e62498755f557e49e1ba4",
"content-hash": "032ab1160f58aff496453a86648f7012",
"packages": [],
"packages-dev": [
{
@ -247,16 +247,16 @@
},
{
"name": "friendsofphp/php-cs-fixer",
"version": "v2.8.1",
"version": "v2.8.2",
"source": {
"type": "git",
"url": "https://github.com/FriendsOfPHP/PHP-CS-Fixer.git",
"reference": "04f71e56e03ba2627e345e8c949c80dcef0e683e"
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},
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"reference": "b331701944cbe492e466d2b46b2880068803eb08",
"shasum": ""
},
"require": {
@ -323,7 +323,7 @@
}
],
"description": "A tool to automatically fix PHP code style",
"time": "2017-11-09T13:31:39+00:00"
"time": "2017-11-19T22:51:25+00:00"
},
{
"name": "gecko-packages/gecko-php-unit",
@ -1219,16 +1219,16 @@
},
{
"name": "phpspec/prophecy",
"version": "v1.7.2",
"version": "1.7.3",
"source": {
"type": "git",
"url": "https://github.com/phpspec/prophecy.git",
"reference": "c9b8c6088acd19d769d4cc0ffa60a9fe34344bd6"
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},
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},
"require": {
@ -1240,7 +1240,7 @@
},
"require-dev": {
"phpspec/phpspec": "^2.5|^3.2",
"phpunit/phpunit": "^4.8 || ^5.6.5"
"phpunit/phpunit": "^4.8.35 || ^5.7"
},
"type": "library",
"extra": {
@ -1278,7 +1278,43 @@
"spy",
"stub"
],
"time": "2017-09-04T11:05:03+00:00"
"time": "2017-11-24T13:59:53+00:00"
},
{
"name": "phpstan/phpstan-shim",
"version": "0.8.5",
"source": {
"type": "git",
"url": "https://github.com/phpstan/phpstan-shim.git",
"reference": "0b174a61fd99dea61f15ea6bd3bc424389f273d4"
},
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"reference": "0b174a61fd99dea61f15ea6bd3bc424389f273d4",
"shasum": ""
},
"require": {
"php": "~7.0"
},
"provide": {
"phpstan/phpstan": "0.8"
},
"bin": [
"phpstan.phar"
],
"type": "library",
"extra": {
"branch-alias": {
"dev-master": "0.8-dev"
}
},
"notification-url": "https://packagist.org/downloads/",
"license": [
"MIT"
],
"description": "PHPStan Phar distribution",
"time": "2017-10-24T04:16:00+00:00"
},
{
"name": "phpunit/php-code-coverage",
@ -1346,16 +1382,16 @@
},
{
"name": "phpunit/php-file-iterator",
"version": "1.4.2",
"version": "1.4.3",
"source": {
"type": "git",
"url": "https://github.com/sebastianbergmann/php-file-iterator.git",
"reference": "3cc8f69b3028d0f96a9078e6295d86e9bf019be5"
"reference": "8ebba84e5bd74fc5fdeb916b38749016c7232f93"
},
"dist": {
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"reference": "8ebba84e5bd74fc5fdeb916b38749016c7232f93",
"shasum": ""
},
"require": {
@ -1389,7 +1425,7 @@
"filesystem",
"iterator"
],
"time": "2016-10-03T07:40:28+00:00"
"time": "2017-11-24T15:00:59+00:00"
},
{
"name": "phpunit/php-text-template",
@ -2418,7 +2454,7 @@
},
{
"name": "symfony/config",
"version": "v3.3.12",
"version": "v3.3.13",
"source": {
"type": "git",
"url": "https://github.com/symfony/config.git",
@ -2480,16 +2516,16 @@
},
{
"name": "symfony/console",
"version": "v3.3.12",
"version": "v3.3.13",
"source": {
"type": "git",
"url": "https://github.com/symfony/console.git",
"reference": "099302cc53e57cbb7414fd9f3ace40e5e2767c0b"
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"reference": "63cd7960a0a522c3537f6326706d7f3b8de65805",
"shasum": ""
},
"require": {
@ -2544,11 +2580,11 @@
],
"description": "Symfony Console Component",
"homepage": "https://symfony.com",
"time": "2017-11-12T16:53:41+00:00"
"time": "2017-11-16T15:24:32+00:00"
},
{
"name": "symfony/debug",
"version": "v3.3.12",
"version": "v3.3.13",
"source": {
"type": "git",
"url": "https://github.com/symfony/debug.git",
@ -2604,7 +2640,7 @@
},
{
"name": "symfony/dependency-injection",
"version": "v3.3.12",
"version": "v3.3.13",
"source": {
"type": "git",
"url": "https://github.com/symfony/dependency-injection.git",
@ -2674,7 +2710,7 @@
},
{
"name": "symfony/event-dispatcher",
"version": "v3.3.12",
"version": "v3.3.13",
"source": {
"type": "git",
"url": "https://github.com/symfony/event-dispatcher.git",
@ -2737,7 +2773,7 @@
},
{
"name": "symfony/filesystem",
"version": "v3.3.12",
"version": "v3.3.13",
"source": {
"type": "git",
"url": "https://github.com/symfony/filesystem.git",
@ -2786,7 +2822,7 @@
},
{
"name": "symfony/finder",
"version": "v3.3.12",
"version": "v3.3.13",
"source": {
"type": "git",
"url": "https://github.com/symfony/finder.git",
@ -2835,7 +2871,7 @@
},
{
"name": "symfony/http-foundation",
"version": "v3.3.12",
"version": "v3.3.13",
"source": {
"type": "git",
"url": "https://github.com/symfony/http-foundation.git",
@ -2888,16 +2924,16 @@
},
{
"name": "symfony/http-kernel",
"version": "v3.3.12",
"version": "v3.3.13",
"source": {
"type": "git",
"url": "https://github.com/symfony/http-kernel.git",
"reference": "371ed63691c1ee8749613a6b48cf0e0cfa2b01e7"
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},
"require": {
@ -2970,11 +3006,11 @@
],
"description": "Symfony HttpKernel Component",
"homepage": "https://symfony.com",
"time": "2017-11-13T19:37:21+00:00"
"time": "2017-11-16T18:14:43+00:00"
},
{
"name": "symfony/options-resolver",
"version": "v3.3.12",
"version": "v3.3.13",
"source": {
"type": "git",
"url": "https://github.com/symfony/options-resolver.git",
@ -3201,7 +3237,7 @@
},
{
"name": "symfony/process",
"version": "v3.3.12",
"version": "v3.3.13",
"source": {
"type": "git",
"url": "https://github.com/symfony/process.git",
@ -3250,7 +3286,7 @@
},
{
"name": "symfony/stopwatch",
"version": "v3.3.12",
"version": "v3.3.13",
"source": {
"type": "git",
"url": "https://github.com/symfony/stopwatch.git",
@ -3299,7 +3335,7 @@
},
{
"name": "symfony/yaml",
"version": "v3.3.12",
"version": "v3.3.13",
"source": {
"type": "git",
"url": "https://github.com/symfony/yaml.git",
@ -3354,16 +3390,16 @@
},
{
"name": "symplify/coding-standard",
"version": "dev-master",
"version": "v3.0.0-RC3",
"source": {
"type": "git",
"url": "https://github.com/Symplify/CodingStandard.git",
"reference": "309fd562066cdc86b81375ff080b1ee2f900778e"
"reference": "0a3958f1cb6ce733def98f3abdf52a4e6c723879"
},
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@ -3382,6 +3418,11 @@
"symplify/package-builder": "^2.5|^3.0"
},
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"extra": {
"branch-alias": {
"dev-master": "3.0-dev"
}
},
"autoload": {
"psr-4": {
"Symplify\\CodingStandard\\": "src",
@ -3394,20 +3435,20 @@
"MIT"
],
"description": "Set of Symplify rules for PHP_CodeSniffer.",
"time": "2017-11-16 00:38:24"
"time": "2017-11-18T01:05:00+00:00"
},
{
"name": "symplify/easy-coding-standard",
"version": "dev-master",
"version": "v3.0.0-RC3",
"source": {
"type": "git",
"url": "https://github.com/Symplify/EasyCodingStandard.git",
"reference": "4bac5271050f063b4455bd870cc215e0db57ddf8"
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},
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},
"require": {
@ -3440,6 +3481,11 @@
"bin/easy-coding-standard.php"
],
"type": "library",
"extra": {
"branch-alias": {
"dev-master": "3.0-dev"
}
},
"autoload": {
"psr-4": {
"Symplify\\EasyCodingStandard\\": "src",
@ -3455,20 +3501,20 @@
"MIT"
],
"description": "Use Coding Standard with 0-knowledge of PHP-CS-Fixer and PHP_CodeSniffer.",
"time": "2017-11-16 15:36:21"
"time": "2017-11-18T14:13:17+00:00"
},
{
"name": "symplify/package-builder",
"version": "dev-master",
"version": "v3.0.0-RC3",
"source": {
"type": "git",
"url": "https://github.com/Symplify/PackageBuilder.git",
"reference": "3604beadddfdee295b978d87475a834810a0ffd4"
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},
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"require": {
@ -3486,6 +3532,11 @@
"tracy/tracy": "^2.4"
},
"type": "library",
"extra": {
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"dev-master": "3.0-dev"
}
},
"autoload": {
"psr-4": {
"Symplify\\PackageBuilder\\": "src"
@ -3496,7 +3547,7 @@
"MIT"
],
"description": "Dependency Injection, Console and Kernel toolkit for Symplify packages.",
"time": "2017-11-16T01:05:48+00:00"
"time": "2017-11-17T13:58:38+00:00"
},
{
"name": "theseer/tokenizer",
@ -3656,31 +3707,12 @@
"time": "2016-11-23T20:04:58+00:00"
}
],
"aliases": [
{
"alias": "2.5",
"alias_normalized": "2.5.0.0",
"version": "9999999-dev",
"package": "symplify/easy-coding-standard"
},
{
"alias": "2.5",
"alias_normalized": "2.5.0.0",
"version": "9999999-dev",
"package": "symplify/coding-standard"
},
{
"alias": "2.5",
"alias_normalized": "2.5.0.0",
"version": "9999999-dev",
"package": "symplify/package-builder"
}
],
"aliases": [],
"minimum-stability": "stable",
"stability-flags": {
"symplify/easy-coding-standard": 20,
"symplify/coding-standard": 20,
"symplify/package-builder": 20
"symplify/easy-coding-standard": 5,
"symplify/coding-standard": 5,
"symplify/package-builder": 5
},
"prefer-stable": false,
"prefer-lowest": false,

68
docs/index.md
View File

@ -17,11 +17,11 @@
Fresh approach to Machine Learning in PHP. Algorithms, Cross Validation, Neural Network, Preprocessing, Feature Extraction and much more in one library.
PHP-ML requires PHP >= 7.0.
PHP-ML requires PHP >= 7.1.
Simple example of classification:
```php
require_once 'vendor/autoload.php';
require_once __DIR__ . '/vendor/autoload.php';
use Phpml\Classification\KNearestNeighbors;
@ -54,57 +54,57 @@ Example scripts are available in a separate repository [php-ai/php-ml-examples](
## Features
* Association rule Lerning
* [Apriori](machine-learning/association/apriori/)
* [Apriori](machine-learning/association/apriori.md)
* Classification
* [SVC](machine-learning/classification/svc/)
* [k-Nearest Neighbors](machine-learning/classification/k-nearest-neighbors/)
* [Naive Bayes](machine-learning/classification/naive-bayes/)
* [SVC](machine-learning/classification/svc.md)
* [k-Nearest Neighbors](machine-learning/classification/k-nearest-neighbors.md)
* [Naive Bayes](machine-learning/classification/naive-bayes.md)
* Regression
* [Least Squares](machine-learning/regression/least-squares/)
* [SVR](machine-learning/regression/svr/)
* [Least Squares](machine-learning/regression/least-squares.md)
* [SVR](machine-learning/regression/svr.md)
* Clustering
* [k-Means](machine-learning/clustering/k-means/)
* [DBSCAN](machine-learning/clustering/dbscan/)
* [k-Means](machine-learning/clustering/k-means.md)
* [DBSCAN](machine-learning/clustering/dbscan.md)
* Metric
* [Accuracy](machine-learning/metric/accuracy/)
* [Confusion Matrix](machine-learning/metric/confusion-matrix/)
* [Classification Report](machine-learning/metric/classification-report/)
* [Accuracy](machine-learning/metric/accuracy.md)
* [Confusion Matrix](machine-learning/metric/confusion-matrix.md)
* [Classification Report](machine-learning/metric/classification-report.md)
* Workflow
* [Pipeline](machine-learning/workflow/pipeline)
* Neural Network
* [Multilayer Perceptron Classifier](machine-learning/neural-network/multilayer-perceptron-classifier/)
* [Multilayer Perceptron Classifier](machine-learning/neural-network/multilayer-perceptron-classifier.md)
* Cross Validation
* [Random Split](machine-learning/cross-validation/random-split/)
* [Stratified Random Split](machine-learning/cross-validation/stratified-random-split/)
* [Random Split](machine-learning/cross-validation/random-split.md)
* [Stratified Random Split](machine-learning/cross-validation/stratified-random-split.md)
* Preprocessing
* [Normalization](machine-learning/preprocessing/normalization/)
* [Imputation missing values](machine-learning/preprocessing/imputation-missing-values/)
* [Normalization](machine-learning/preprocessing/normalization.md)
* [Imputation missing values](machine-learning/preprocessing/imputation-missing-values.md)
* Feature Extraction
* [Token Count Vectorizer](machine-learning/feature-extraction/token-count-vectorizer/)
* [Tf-idf Transformer](machine-learning/feature-extraction/tf-idf-transformer/)
* [Token Count Vectorizer](machine-learning/feature-extraction/token-count-vectorizer.md)
* [Tf-idf Transformer](machine-learning/feature-extraction/tf-idf-transformer.md)
* Datasets
* [Array](machine-learning/datasets/array-dataset/)
* [CSV](machine-learning/datasets/csv-dataset/)
* [Files](machine-learning/datasets/files-dataset/)
* [Array](machine-learning/datasets/array-dataset.md)
* [CSV](machine-learning/datasets/csv-dataset.md)
* [Files](machine-learning/datasets/files-dataset.md)
* Ready to use:
* [Iris](machine-learning/datasets/demo/iris/)
* [Wine](machine-learning/datasets/demo/wine/)
* [Glass](machine-learning/datasets/demo/glass/)
* [Iris](machine-learning/datasets/demo/iris.md)
* [Wine](machine-learning/datasets/demo/wine.md)
* [Glass](machine-learning/datasets/demo/glass.md)
* Models management
* [Persistency](machine-learning/model-manager/persistency/)
* [Persistency](machine-learning/model-manager/persistency.md)
* Math
* [Distance](math/distance/)
* [Matrix](math/matrix/)
* [Set](math/set/)
* [Statistic](math/statistic/)
* [Distance](math/distance.md)
* [Matrix](math/matrix.md)
* [Set](math/set.md)
* [Statistic](math/statistic.md)
## Contribute
- Issue Tracker: github.com/php-ai/php-ml/issues
- Source Code: github.com/php-ai/php-ml
- Issue Tracker: [github.com/php-ai/php-ml/issues](https://github.com/php-ai/php-ml/issues)
- Source Code: [github.com/php-ai/php-ml](https://github.com/php-ai/php-ml)
You can find more about contributing in [CONTRIBUTING.md](CONTRIBUTING.md).
You can find more about contributing in [CONTRIBUTING.md](../CONTRIBUTING.md).
## License

19
easy-coding-standard.neon
View File

@ -11,6 +11,25 @@ includes:
#- vendor/symplify/easy-coding-standard/config/common/strict.neon
checkers:
# spacing
- PhpCsFixer\Fixer\PhpTag\BlankLineAfterOpeningTagFixer
- PhpCsFixer\Fixer\Whitespace\BlankLineBeforeStatementFixer
- PhpCsFixer\Fixer\CastNotation\CastSpacesFixer
PhpCsFixer\Fixer\Operator\ConcatSpaceFixer:
spacing: none
- PhpCsFixer\Fixer\ClassNotation\MethodSeparationFixer
- PhpCsFixer\Fixer\ClassNotation\NoBlankLinesAfterClassOpeningFixer
PhpCsFixer\Fixer\Whitespace\NoSpacesAroundOffsetFixer:
positions: ['inside', 'outside']
PhpCsFixer\Fixer\Operator\BinaryOperatorSpacesFixer:
align_double_arrow: false
align_equals: false
# phpdoc
- PhpCsFixer\Fixer\Phpdoc\PhpdocSeparationFixer
- PhpCsFixer\Fixer\Phpdoc\PhpdocAlignFixer
# Symplify
- Symplify\CodingStandard\Fixer\Import\ImportNamespacedNameFixer
- Symplify\CodingStandard\Fixer\Php\ClassStringToClassConstantFixer
- Symplify\CodingStandard\Fixer\Property\ArrayPropertyDefaultValueFixer

19
phpstan.neon Normal file
View File

@ -0,0 +1,19 @@
parameters:
ignoreErrors:
- '#Phpml\\Dataset\\FilesDataset::__construct\(\) does not call parent constructor from Phpml\\Dataset\\ArrayDataset#'
- '#Parameter \#2 \$predictedLabels of static method Phpml\\Metric\\Accuracy::score\(\) expects mixed\[\], mixed\[\]\|string given#'
# should be always defined
- '#Undefined variable: \$j#'
# bugged
- '#expects [a-z\\\|\[\]]*, [a-z\\\|\(\)\[\]]*\[\] given#'
# mock
- '#Parameter \#1 \$node of class Phpml\\NeuralNetwork\\Node\\Neuron\\Synapse constructor expects Phpml\\NeuralNetwork\\Node, Phpml\\NeuralNetwork\\Node\\Neuron\|PHPUnit_Framework_MockObject_MockObject given#'
- '#Parameter \#1 \$(activationFunction|synapse) of class Phpml\\NeuralNetwork\\Node\\Neuron constructor expects Phpml\\NeuralNetwork\\ActivationFunction|null, Phpml\\NeuralNetwork\\ActivationFunction\\BinaryStep|PHPUnit_Framework_MockObject_MockObject given#'
# probably known value
- '#Method Phpml\\Classification\\DecisionTree::getBestSplit\(\) should return Phpml\\Classification\\DecisionTree\\DecisionTreeLeaf but returns Phpml\\Classification\\DecisionTree\\DecisionTreeLeaf\|null#'
- '#Method Phpml\\Classification\\Linear\\DecisionStump::getBestNumericalSplit\(\) should return mixed\[\] but returns \(float\|int\|mixed\|string\)\[\]\|null#'
- '#Method Phpml\\Classification\\Linear\\DecisionStump::getBestNominalSplit\(\) should return mixed\[\] but returns mixed\[\]\|null#'

1
src/Phpml/Association/Apriori.php
View File

@ -244,6 +244,7 @@ class Apriori implements Associator
foreach ((array) $this->samples as $sample) {
if ($this->subset($sample, $candidate)) {
$candidates[] = $candidate;
continue 2;
}
}

8
src/Phpml/Classification/DecisionTree.php
View File

@ -59,14 +59,14 @@ class DecisionTree implements Classifier
private $selectedFeatures = [];
/**
* @var array
* @var array|null
*/
private $featureImportances = null;
private $featureImportances;
/**
* @var array
* @var array|null
*/
private $columnNames = null;
private $columnNames;
public function __construct(int $maxDepth = 10)
{

4
src/Phpml/Classification/DecisionTree/DecisionTreeLeaf.php
View File

@ -9,7 +9,7 @@ use Phpml\Math\Comparison;
class DecisionTreeLeaf
{
/**
* @var string
* @var string|int
*/
public $value;
@ -52,7 +52,7 @@ class DecisionTreeLeaf
public $classValue = '';
/**
* @var bool
* @var bool|int
*/
public $isTerminal = false;

2
src/Phpml/Classification/Ensemble/Bagging.php
View File

@ -31,7 +31,7 @@ class Bagging implements Classifier
protected $numClassifier;
/**
* @var Classifier
* @var string
*/
protected $classifier = DecisionTree::class;

2
src/Phpml/Classification/Linear/Adaline.php
View File

@ -21,7 +21,7 @@ class Adaline extends Perceptron
/**
* Training type may be either 'Batch' or 'Online' learning
*
* @var string
* @var string|int
*/
protected $trainingType;

2
src/Phpml/Classification/Linear/DecisionStump.php
View File

@ -224,7 +224,7 @@ class DecisionStump extends WeightedClassifier
foreach ($distinctVals as $val) {
[$errorRate, $prob] = $this->calculateErrorRate($targets, $val, $operator, $values);
if ($split == null || $split['trainingErrorRate'] < $errorRate) {
if ($split === null || $split['trainingErrorRate'] < $errorRate) {
$split = [
'value' => $val,
'operator' => $operator,

16
src/Phpml/Classification/Linear/LogisticRegression.php
View File

@ -119,19 +119,25 @@ class LogisticRegression extends Adaline
*
* @throws \Exception
*/
protected function runTraining(array $samples, array $targets)
protected function runTraining(array $samples, array $targets): void
{
$callback = $this->getCostFunction();
switch ($this->trainingType) {
case self::BATCH_TRAINING:
return $this->runGradientDescent($samples, $targets, $callback, true);
$this->runGradientDescent($samples, $targets, $callback, true);
return;
case self::ONLINE_TRAINING:
return $this->runGradientDescent($samples, $targets, $callback, false);
$this->runGradientDescent($samples, $targets, $callback, false);
return;
case self::CONJUGATE_GRAD_TRAINING:
return $this->runConjugateGradient($samples, $targets, $callback);
$this->runConjugateGradient($samples, $targets, $callback);
return;
default:
throw new Exception('Logistic regression has invalid training type: %s.', $this->trainingType);
@ -143,7 +149,7 @@ class LogisticRegression extends Adaline
*/
protected function runConjugateGradient(array $samples, array $targets, Closure $gradientFunc): void
{
if (empty($this->optimizer)) {
if ($this->optimizer === null) {
$this->optimizer = (new ConjugateGradient($this->featureCount))
->setMaxIterations($this->maxIterations);
}

10
src/Phpml/Classification/Linear/Perceptron.php
View File

@ -19,7 +19,7 @@ class Perceptron implements Classifier, IncrementalEstimator
use Predictable, OneVsRest;
/**
* @var \Phpml\Helper\Optimizer\Optimizer
* @var \Phpml\Helper\Optimizer\Optimizer|GD|StochasticGD|null
*/
protected $optimizer;
@ -34,7 +34,7 @@ class Perceptron implements Classifier, IncrementalEstimator
protected $featureCount = 0;
/**
* @var array
* @var array|null
*/
protected $weights = [];
@ -67,8 +67,8 @@ class Perceptron implements Classifier, IncrementalEstimator
* Initalize a perceptron classifier with given learning rate and maximum
* number of iterations used while training the perceptron
*
* @param float $learningRate Value between 0.0(exclusive) and 1.0(inclusive)
* @param int $maxIterations Must be at least 1
* @param float $learningRate Value between 0.0(exclusive) and 1.0(inclusive)
* @param int $maxIterations Must be at least 1
*
* @throws \Exception
*/
@ -178,7 +178,7 @@ class Perceptron implements Classifier, IncrementalEstimator
{
$class = $isBatch ? GD::class : StochasticGD::class;
if (empty($this->optimizer)) {
if ($this->optimizer === null) {
$this->optimizer = (new $class($this->featureCount))
->setLearningRate($this->learningRate)
->setMaxIterations($this->maxIterations)

3
src/Phpml/Clustering/KMeans/Point.php
View File

@ -48,12 +48,15 @@ class Point implements ArrayAccess
*/
public function getClosest(array $points)
{
$minPoint = null;
foreach ($points as $point) {
$distance = $this->getDistanceWith($point, false);
if (!isset($minDistance)) {
$minDistance = $distance;
$minPoint = $point;
continue;
}

5
src/Phpml/Clustering/KMeans/Space.php
View File

@ -45,7 +45,7 @@ class Space extends SplObjectStorage
}
/**
* @param null $data
* @param null $data
*/
public function addPoint(array $coordinates, $data = null): void
{
@ -124,10 +124,12 @@ class Space extends SplObjectStorage
switch ($initMethod) {
case KMeans::INIT_RANDOM:
$clusters = $this->initializeRandomClusters($clustersNumber);
break;
case KMeans::INIT_KMEANS_PLUS_PLUS:
$clusters = $this->initializeKMPPClusters($clustersNumber);
break;
default:
@ -200,6 +202,7 @@ class Space extends SplObjectStorage
}
$clusters[] = new Cluster($this, $point->getCoordinates());
break;
}
}

2
src/Phpml/DimensionReduction/KernelPCA.php
View File

@ -30,7 +30,7 @@ class KernelPCA extends PCA
/**
* Gamma value used by the kernel
*
* @var float
* @var float|null
*/
protected $gamma;

2
src/Phpml/FeatureExtraction/TokenCountVectorizer.php
View File

@ -15,7 +15,7 @@ class TokenCountVectorizer implements Transformer
private $tokenizer;
/**
* @var StopWords
* @var StopWords|null
*/
private $stopWords;

2
src/Phpml/Helper/OneVsRest.php
View File

@ -33,7 +33,7 @@ trait OneVsRest
// Clears previous stuff.
$this->reset();
$this->trainBylabel($samples, $targets);
$this->trainByLabel($samples, $targets);
}
/**

4
src/Phpml/Helper/Optimizer/GD.php
View File

@ -15,9 +15,9 @@ class GD extends StochasticGD
/**
* Number of samples given
*
* @var int
* @var int|null
*/
protected $sampleCount = null;
protected $sampleCount;
public function runOptimization(array $samples, array $targets, Closure $gradientCb): array
{

6
src/Phpml/Helper/Optimizer/StochasticGD.php
View File

@ -31,7 +31,7 @@ class StochasticGD extends Optimizer
* Callback function to get the gradient and cost value
* for a specific set of theta (ϴ) and a pair of sample & target
*
* @var \Closure
* @var \Closure|null
*/
protected $gradientCb = null;
@ -144,7 +144,7 @@ class StochasticGD extends Optimizer
* The cost function to minimize and the gradient of the function are to be
* handled by the callback function provided as the third parameter of the method.
*/
public function runOptimization(array $samples, array $targets, Closure $gradientCb): array
public function runOptimization(array $samples, array $targets, Closure $gradientCb): ?array
{
$this->samples = $samples;
$this->targets = $targets;
@ -181,7 +181,7 @@ class StochasticGD extends Optimizer
// Solution in the pocket is better than or equal to the last state
// so, we use this solution
return $this->theta = $bestTheta;
return $this->theta = (array) $bestTheta;
}
/**

2
src/Phpml/Math/LinearAlgebra/EigenvalueDecomposition.php
View File

@ -88,6 +88,8 @@ class EigenvalueDecomposition
private $cdivi;
private $A;
/**
* Constructor: Check for symmetry, then construct the eigenvalue decomposition
*/

4
src/Phpml/Math/LinearAlgebra/LUDecomposition.php
View File

@ -212,9 +212,9 @@ class LUDecomposition
/**
* Is the matrix nonsingular?
*
* @return true if U, and hence A, is nonsingular.
* @return bool true if U, and hence A, is nonsingular.
*/
public function isNonsingular()
public function isNonsingular(): bool
{
for ($j = 0; $j < $this->n; ++$j) {
if ($this->LU[$j][$j] == 0) {

6
src/Phpml/Math/Set.php
View File

@ -15,7 +15,7 @@ class Set implements IteratorAggregate
private $elements = [];
/**
* @param string[]|int[]|float[] $elements
* @param string[]|int[]|float[]|bool[] $elements
*/
public function __construct(array $elements = [])
{
@ -83,7 +83,7 @@ class Set implements IteratorAggregate
}
/**
* @param string|int|float $element
* @param string|int|float|bool $element
*/
public function add($element): self
{
@ -91,7 +91,7 @@ class Set implements IteratorAggregate
}
/**
* @param string[]|int[]|float[] $elements
* @param string[]|int[]|float[]|bool[] $elements
*/
public function addAll(array $elements): self
{

1
src/Phpml/Metric/ClassificationReport.php
View File

@ -91,6 +91,7 @@ class ClassificationReport
$values = array_filter($this->{$metric});
if (empty($values)) {
$this->average[$metric] = 0.0;
continue;
}

9
src/Phpml/NeuralNetwork/Network/MultilayerPerceptron.php
View File

@ -26,14 +26,14 @@ abstract class MultilayerPerceptron extends LayeredNetwork implements Estimator,
protected $classes = [];
/**
* @var ActivationFunction
* @var ActivationFunction|null
*/
protected $activationFunction;
/**
* @var Backpropagation
*/
protected $backpropagation = null;
protected $backpropagation;
/**
* @var int
@ -50,6 +50,11 @@ abstract class MultilayerPerceptron extends LayeredNetwork implements Estimator,
*/
private $learningRate;
/**
* @var int
*/
private $iterations;
/**
* @throws InvalidArgumentException
*/

10
src/Phpml/NeuralNetwork/Node/Neuron.php
View File

@ -24,13 +24,11 @@ class Neuron implements Node
/**
* @var float
*/
protected $output;
protected $output = 0.0;
public function __construct(?ActivationFunction $activationFunction = null)
{
$this->activationFunction = $activationFunction ?: new Sigmoid();
$this->synapses = [];
$this->output = 0;
}
public function addSynapse(Synapse $synapse): void
@ -48,8 +46,8 @@ class Neuron implements Node
public function getOutput(): float
{
if ($this->output === 0) {
$sum = 0;
if ($this->output === 0.0) {
$sum = 0.0;
foreach ($this->synapses as $synapse) {
$sum += $synapse->getOutput();
}
@ -62,6 +60,6 @@ class Neuron implements Node
public function reset(): void
{
$this->output = 0;
$this->output = 0.0;
}
}

8
src/Phpml/NeuralNetwork/Training/Backpropagation.php
View File

@ -15,14 +15,14 @@ class Backpropagation
private $learningRate;
/**
* @var array
* @var array|null
*/
private $sigmas = null;
private $sigmas;
/**
* @var array
* @var array|null
*/
private $prevSigmas = null;
private $prevSigmas;
public function __construct(float $learningRate)
{

3
src/Phpml/Preprocessing/Imputer.php
View File

@ -33,8 +33,7 @@ class Imputer implements Preprocessor
private $samples = [];
/**
* @param mixed $missingValue
* @param array|null $samples
* @param mixed $missingValue
*/
public function __construct($missingValue, Strategy $strategy, int $axis = self::AXIS_COLUMN, array $samples = [])
{

2
src/Phpml/SupportVectorMachine/DataTransformer.php
View File

@ -9,6 +9,8 @@ class DataTransformer
public static function trainingSet(array $samples, array $labels, bool $targets = false): string
{
$set = '';
$numericLabels = [];
if (!$targets) {
$numericLabels = self::numericLabels($labels);
}

2
src/Phpml/SupportVectorMachine/SupportVectorMachine.php
View File

@ -37,7 +37,7 @@ class SupportVectorMachine
private $degree;
/**
* @var float
* @var float|null
*/
private $gamma;

6
tests/Phpml/Association/AprioriTest.php
View File

@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Classification;
namespace Phpml\Tests\Association;
use Phpml\Association\Apriori;
use Phpml\ModelManager;
@ -173,8 +173,8 @@ class AprioriTest extends TestCase
/**
* Invokes objects method. Private/protected will be set accessible.
*
* @param string $method Method name to be called
* @param array $params Array of params to be passed
* @param string $method Method name to be called
* @param array $params Array of params to be passed
*
* @return mixed
*/

2
tests/Phpml/Classification/DecisionTree/DecisionTreeLeafTest.php
View File

@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Classification\DecisionTree;
namespace Phpml\Tests\Classification\DecisionTree;
use Phpml\Classification\DecisionTree\DecisionTreeLeaf;
use PHPUnit\Framework\TestCase;

2
tests/Phpml/Classification/DecisionTreeTest.php
View File

@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Classification;
namespace Phpml\Tests\Classification;
use Phpml\Classification\DecisionTree;
use Phpml\ModelManager;

2
tests/Phpml/Classification/Ensemble/AdaBoostTest.php
View File

@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Classification\Ensemble;
namespace Phpml\Tests\Classification\Ensemble;
use Phpml\Classification\Ensemble\AdaBoost;
use Phpml\ModelManager;

2
tests/Phpml/Classification/Ensemble/BaggingTest.php
View File

@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Classification\Ensemble;
namespace Phpml\Tests\Classification\Ensemble;
use Phpml\Classification\DecisionTree;
use Phpml\Classification\Ensemble\Bagging;

3
tests/Phpml/Classification/Ensemble/RandomForestTest.php
View File

@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Classification\Ensemble;
namespace Phpml\Tests\Classification\Ensemble;
use Phpml\Classification\DecisionTree;
use Phpml\Classification\Ensemble\RandomForest;
@ -21,6 +21,7 @@ class RandomForestTest extends BaggingTest
$this->assertEquals(1, 1);
}
}
protected function getClassifier($numBaseClassifiers = 50)
{
$classifier = new RandomForest($numBaseClassifiers);

2
tests/Phpml/Classification/KNearestNeighborsTest.php
View File

@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Classification;
namespace Phpml\Tests\Classification;
use Phpml\Classification\KNearestNeighbors;
use Phpml\Math\Distance\Chebyshev;

2
tests/Phpml/Classification/Linear/AdalineTest.php
View File

@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Classification\Linear;
namespace Phpml\Tests\Classification\Linear;
use Phpml\Classification\Linear\Adaline;
use Phpml\ModelManager;

2
tests/Phpml/Classification/Linear/DecisionStumpTest.php
View File

@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Classification\Linear;
namespace Phpml\Tests\Classification\Linear;
use Phpml\Classification\Linear\DecisionStump;
use Phpml\ModelManager;

2
tests/Phpml/Classification/Linear/PerceptronTest.php
View File

@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Classification\Linear;
namespace Phpml\Tests\Classification\Linear;
use Phpml\Classification\Linear\Perceptron;
use Phpml\ModelManager;

2
tests/Phpml/Classification/MLPClassifierTest.php
View File

@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Classification;
namespace Phpml\Tests\Classification;
use Phpml\Classification\MLPClassifier;
use Phpml\Exception\InvalidArgumentException;

2
tests/Phpml/Classification/NaiveBayesTest.php
View File

@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Classification;
namespace Phpml\Tests\Classification;
use Phpml\Classification\NaiveBayes;
use Phpml\ModelManager;

2
tests/Phpml/Classification/SVCTest.php
View File

@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Classification;
namespace Phpml\Tests\Classification;
use Phpml\Classification\SVC;
use Phpml\ModelManager;

2
tests/Phpml/Clustering/DBSCANTest.php
View File

@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Clustering;
namespace Phpml\Tests\Clustering;
use Phpml\Clustering\DBSCAN;
use PHPUnit\Framework\TestCase;

2
tests/Phpml/Clustering/FuzzyCMeansTest.php
View File

@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Clustering;
namespace Phpml\Tests\Clustering;
use Phpml\Clustering\FuzzyCMeans;
use PHPUnit\Framework\TestCase;

2
tests/Phpml/Clustering/KMeansTest.php
View File

@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Clustering;
namespace Phpml\Tests\Clustering;
use Phpml\Clustering\KMeans;
use Phpml\Exception\InvalidArgumentException;

2
tests/Phpml/CrossValidation/RandomSplitTest.php
View File

@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\CrossValidation;
namespace Phpml\Tests\CrossValidation;
use Phpml\CrossValidation\RandomSplit;
use Phpml\Dataset\ArrayDataset;

2
tests/Phpml/CrossValidation/StratifiedRandomSplitTest.php
View File

@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\CrossValidation;
namespace Phpml\Tests\CrossValidation;
use Phpml\CrossValidation\StratifiedRandomSplit;
use Phpml\Dataset\ArrayDataset;

2
tests/Phpml/Dataset/ArrayDatasetTest.php
View File

@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Dataset;
namespace Phpml\Tests\Dataset;
use Phpml\Dataset\ArrayDataset;
use Phpml\Exception\InvalidArgumentException;

2
tests/Phpml/Dataset/CsvDatasetTest.php
View File

@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Dataset;
namespace Phpml\Tests\Dataset;
use Phpml\Dataset\CsvDataset;
use Phpml\Exception\FileException;

2
tests/Phpml/Dataset/Demo/GlassDatasetTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Dataset\Demo;
namespace Phpml\Tests\Dataset\Demo;
use Phpml\Dataset\Demo\GlassDataset;
use PHPUnit\Framework\TestCase;

2
tests/Phpml/Dataset/Demo/IrisDatasetTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Dataset\Demo;
namespace Phpml\Tests\Dataset\Demo;
use Phpml\Dataset\Demo\IrisDataset;
use PHPUnit\Framework\TestCase;

2
tests/Phpml/Dataset/Demo/WineDatasetTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Dataset\Demo;
namespace Phpml\Tests\Dataset\Demo;
use Phpml\Dataset\Demo\WineDataset;
use PHPUnit\Framework\TestCase;

2
tests/Phpml/Dataset/FilesDatasetTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Dataset;
namespace Phpml\Tests\Dataset;
use Phpml\Dataset\FilesDataset;
use Phpml\Exception\DatasetException;

2
tests/Phpml/DimensionReduction/KernelPCATest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\DimensionReduction;
namespace Phpml\Tests\DimensionReduction;
use Phpml\DimensionReduction\KernelPCA;
use PHPUnit\Framework\TestCase;

2
tests/Phpml/DimensionReduction/LDATest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\DimensionReduction;
namespace Phpml\Tests\DimensionReduction;
use Phpml\Dataset\Demo\IrisDataset;
use Phpml\DimensionReduction\LDA;

2
tests/Phpml/DimensionReduction/PCATest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\DimensionReduction;
namespace Phpml\Tests\DimensionReduction;
use Phpml\DimensionReduction\PCA;
use PHPUnit\Framework\TestCase;

2
tests/Phpml/FeatureExtraction/StopWordsTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\FeatureExtraction;
namespace Phpml\Tests\FeatureExtraction;
use Phpml\Exception\InvalidArgumentException;
use Phpml\FeatureExtraction\StopWords;

2
tests/Phpml/FeatureExtraction/TfIdfTransformerTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\FeatureExtraction;
namespace Phpml\Tests\FeatureExtraction;
use Phpml\FeatureExtraction\TfIdfTransformer;
use PHPUnit\Framework\TestCase;

2
tests/Phpml/FeatureExtraction/TokenCountVectorizerTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\FeatureExtraction;
namespace Phpml\Tests\FeatureExtraction;
use Phpml\FeatureExtraction\StopWords;
use Phpml\FeatureExtraction\TokenCountVectorizer;

6
tests/Phpml/Math/ComparisonTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Math;
namespace Phpml\Tests\Math;
use Phpml\Exception\InvalidArgumentException;
use Phpml\Math\Comparison;
@ -11,8 +11,8 @@ use PHPUnit\Framework\TestCase;
class ComparisonTest extends TestCase
{
/**
* @param mixed $a
* @param mixed $b
* @param mixed $a
* @param mixed $b
*
* @dataProvider provideData
*/

2
tests/Phpml/Math/Distance/ChebyshevTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Metric;
namespace Phpml\Tests\Math\Distance;
use Phpml\Exception\InvalidArgumentException;
use Phpml\Math\Distance\Chebyshev;

2
tests/Phpml/Math/Distance/EuclideanTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Metric;
namespace Phpml\Tests\Math\Distance;
use Phpml\Exception\InvalidArgumentException;
use Phpml\Math\Distance\Euclidean;

2
tests/Phpml/Math/Distance/ManhattanTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Metric;
namespace Phpml\Tests\Math\Distance;
use Phpml\Exception\InvalidArgumentException;
use Phpml\Math\Distance\Manhattan;

2
tests/Phpml/Math/Distance/MinkowskiTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Metric;
namespace Phpml\Tests\Math\Distance;
use Phpml\Exception\InvalidArgumentException;
use Phpml\Math\Distance\Minkowski;

2
tests/Phpml/Math/Kernel/RBFTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace test\Phpml\Math\Kernel;
namespace Phpml\Tests\Math\Kernel;
use Phpml\Math\Kernel\RBF;
use PHPUnit\Framework\TestCase;

2
tests/Phpml/Math/LinearAlgebra/EigenDecompositionTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Math\LinearAlgebra;
namespace Phpml\Tests\Math\LinearAlgebra;
use Phpml\Math\LinearAlgebra\EigenvalueDecomposition;
use Phpml\Math\Matrix;

2
tests/Phpml/Math/MatrixTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Math;
namespace Phpml\Tests\Math;
use Phpml\Exception\InvalidArgumentException;
use Phpml\Exception\MatrixException;

2
tests/Phpml/Math/ProductTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Math;
namespace Phpml\Tests\Math;
use Phpml\Math\Product;
use PHPUnit\Framework\TestCase;

2
tests/Phpml/Math/SetTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Math;
namespace Phpml\Tests\Math;
use Phpml\Math\Set;
use PHPUnit\Framework\TestCase;

2
tests/Phpml/Math/Statistic/CorrelationTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace test\Phpml\Math\StandardDeviation;
namespace Phpml\Tests\Math\Statistic;
use Phpml\Exception\InvalidArgumentException;
use Phpml\Math\Statistic\Correlation;

2
tests/Phpml/Math/Statistic/CovarianceTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Math\Statistic;
namespace Phpml\Tests\Math\Statistic;
use Phpml\Math\Statistic\Covariance;
use Phpml\Math\Statistic\Mean;

2
tests/Phpml/Math/Statistic/GaussianTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace test\Phpml\Math\StandardDeviation;
namespace Phpml\Tests\Math\Statistic;
use Phpml\Math\Statistic\Gaussian;
use PHPUnit\Framework\TestCase;

2
tests/Phpml/Math/Statistic/MeanTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace test\Phpml\Math\StandardDeviation;
namespace Phpml\Tests\Math\Statistic;
use Phpml\Exception\InvalidArgumentException;
use Phpml\Math\Statistic\Mean;

2
tests/Phpml/Math/Statistic/StandardDeviationTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace test\Phpml\Math\StandardDeviation;
namespace Phpml\Tests\Math\Statistic;
use Phpml\Exception\InvalidArgumentException;
use Phpml\Math\Statistic\StandardDeviation;

2
tests/Phpml/Metric/AccuracyTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Metric;
namespace Phpml\Tests\Metric;
use Phpml\Classification\SVC;
use Phpml\CrossValidation\RandomSplit;

2
tests/Phpml/Metric/ClassificationReportTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Metric;
namespace Phpml\Tests\Metric;
use Phpml\Metric\ClassificationReport;
use PHPUnit\Framework\TestCase;

2
tests/Phpml/Metric/ConfusionMatrixTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Metric;
namespace Phpml\Tests\Metric;
use Phpml\Metric\ConfusionMatrix;
use PHPUnit\Framework\TestCase;

2
tests/Phpml/ModelManagerTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests;
namespace Phpml\Tests;
use Phpml\Exception\FileException;
use Phpml\ModelManager;

2
tests/Phpml/NeuralNetwork/ActivationFunction/BinaryStepTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\NeuralNetwork\ActivationFunction;
namespace Phpml\Tests\NeuralNetwork\ActivationFunction;
use Phpml\NeuralNetwork\ActivationFunction\BinaryStep;
use PHPUnit\Framework\TestCase;

2
tests/Phpml/NeuralNetwork/ActivationFunction/GaussianTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\NeuralNetwork\ActivationFunction;
namespace Phpml\Tests\NeuralNetwork\ActivationFunction;
use Phpml\NeuralNetwork\ActivationFunction\Gaussian;
use PHPUnit\Framework\TestCase;

2
tests/Phpml/NeuralNetwork/ActivationFunction/HyperboliTangentTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\NeuralNetwork\ActivationFunction;
namespace Phpml\Tests\NeuralNetwork\ActivationFunction;
use Phpml\NeuralNetwork\ActivationFunction\HyperbolicTangent;
use PHPUnit\Framework\TestCase;

2
tests/Phpml/NeuralNetwork/ActivationFunction/PReLUTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\NeuralNetwork\ActivationFunction;
namespace Phpml\Tests\NeuralNetwork\ActivationFunction;
use Phpml\NeuralNetwork\ActivationFunction\PReLU;
use PHPUnit\Framework\TestCase;

2
tests/Phpml/NeuralNetwork/ActivationFunction/SigmoidTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\NeuralNetwork\ActivationFunction;
namespace Phpml\Tests\NeuralNetwork\ActivationFunction;
use Phpml\NeuralNetwork\ActivationFunction\Sigmoid;
use PHPUnit\Framework\TestCase;

2
tests/Phpml/NeuralNetwork/ActivationFunction/ThresholdedReLUTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\NeuralNetwork\ActivationFunction;
namespace Phpml\Tests\NeuralNetwork\ActivationFunction;
use Phpml\NeuralNetwork\ActivationFunction\ThresholdedReLU;
use PHPUnit\Framework\TestCase;

2
tests/Phpml/NeuralNetwork/LayerTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\NeuralNetwork;
namespace Phpml\Tests\NeuralNetwork;
use Phpml\Exception\InvalidArgumentException;
use Phpml\NeuralNetwork\Layer;

8
tests/Phpml/NeuralNetwork/Network/LayeredNetworkTest.php
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@ -2,12 +2,13 @@
declare(strict_types=1);
namespace tests\Phpml\NeuralNetwork\Network;
namespace Phpml\Tests\NeuralNetwork\Network;
use Phpml\NeuralNetwork\Layer;
use Phpml\NeuralNetwork\Network\LayeredNetwork;
use Phpml\NeuralNetwork\Node\Input;
use PHPUnit\Framework\TestCase;
use PHPUnit_Framework_MockObject_MockObject;
class LayeredNetworkTest extends TestCase
{
@ -44,7 +45,10 @@ class LayeredNetworkTest extends TestCase
$this->assertEquals([0.5], $network->getOutput());
}
private function getLayeredNetworkMock(): LayeredNetwork
/**
* @return LayeredNetwork|PHPUnit_Framework_MockObject_MockObject
*/
private function getLayeredNetworkMock()
{
return $this->getMockForAbstractClass(LayeredNetwork::class);
}

2
tests/Phpml/NeuralNetwork/Node/BiasTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\NeuralNetwork\Node;
namespace Phpml\Tests\NeuralNetwork\Node;
use Phpml\NeuralNetwork\Node\Bias;
use PHPUnit\Framework\TestCase;

2
tests/Phpml/NeuralNetwork/Node/InputTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\NeuralNetwork\Node;
namespace Phpml\Tests\NeuralNetwork\Node;
use Phpml\NeuralNetwork\Node\Input;
use PHPUnit\Framework\TestCase;

6
tests/Phpml/NeuralNetwork/Node/Neuron/SynapseTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\NeuralNetwork\Node\Neuron;
namespace Phpml\Tests\NeuralNetwork\Node\Neuron;
use Phpml\NeuralNetwork\Node\Neuron;
use Phpml\NeuralNetwork\Node\Neuron\Synapse;
@ -41,8 +41,10 @@ class SynapseTest extends TestCase
/**
* @param int|float $output
*
* @return Neuron|PHPUnit_Framework_MockObject_MockObject
*/
private function getNodeMock($output = 1): PHPUnit_Framework_MockObject_MockObject
private function getNodeMock($output = 1)
{
$node = $this->getMockBuilder(Neuron::class)->getMock();
$node->method('getOutput')->willReturn($output);

3
tests/Phpml/NeuralNetwork/Node/NeuronTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\NeuralNetwork\Node;
namespace Phpml\Tests\NeuralNetwork\Node;
use Phpml\NeuralNetwork\ActivationFunction\BinaryStep;
use Phpml\NeuralNetwork\Node\Neuron;
@ -22,6 +22,7 @@ class NeuronTest extends TestCase
public function testNeuronActivationFunction(): void
{
/** @var BinaryStep|PHPUnit_Framework_MockObject_MockObject $activationFunction */
$activationFunction = $this->getMockBuilder(BinaryStep::class)->getMock();
$activationFunction->method('compute')->with(0)->willReturn($output = 0.69);

2
tests/Phpml/PipelineTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests;
namespace Phpml\Tests;
use Phpml\Classification\SVC;
use Phpml\FeatureExtraction\TfIdfTransformer;

2
tests/Phpml/Preprocessing/ImputerTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Preprocessing;
namespace Phpml\Tests\Preprocessing;
use Phpml\Preprocessing\Imputer;
use Phpml\Preprocessing\Imputer\Strategy\MeanStrategy;

2
tests/Phpml/Preprocessing/NormalizerTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Preprocessing;
namespace Phpml\Tests\Preprocessing;
use Phpml\Exception\NormalizerException;
use Phpml\Preprocessing\Normalizer;

2
tests/Phpml/Regression/LeastSquaresTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Regression;
namespace Phpml\Tests\Regression;
use Phpml\ModelManager;
use Phpml\Regression\LeastSquares;

2
tests/Phpml/Regression/SVRTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\Regression;
namespace Phpml\Tests\Regression;
use Phpml\ModelManager;
use Phpml\Regression\SVR;

2
tests/Phpml/SupportVectorMachine/DataTransformerTest.php
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@ -2,7 +2,7 @@
declare(strict_types=1);
namespace tests\Phpml\SupportVectorMachine;
namespace Phpml\Tests\SupportVectorMachine;
use Phpml\SupportVectorMachine\DataTransformer;
use PHPUnit\Framework\TestCase;

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