Merge f5bc23b into bca071f

.all-contributorsrc

@@ -15,7 +15,8 @@
         "doc",
         "review",
         "bug",
-        "example"
+        "example",
+        "test"
       ]
     },
     {
@@ -25,7 +26,19 @@
       "profile": "https://github.com/firefly-cpp",
       "contributions": [
         "code",
-        "bug"
+        "bug",
+        "mentoring",
+        "research",
+        "ideas"
+      ]
+    },
+    {
+      "login": "sisco0",
+      "name": "sisco0",
+      "avatar_url": "https://avatars0.githubusercontent.com/u/25695302?v=4",
+      "profile": "https://github.com/sisco0",
+      "contributions": [
+        "ideas"
       ]
     }
   ],

.travis.yml

@@ -0,0 +1,10 @@
+language: python
+python:
+- 3.8
+before_install:
+- pip install poetry
+install:
+- poetry install
+script:
+- poetry run coverage run --source=niaaml -m unittest discover -b
+- poetry run coveralls

README.md

@@ -4,6 +4,8 @@
 ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/niaaml.svg)
 ![PyPI - Downloads](https://img.shields.io/pypi/dm/niaaml.svg)
 [![GitHub license](https://img.shields.io/github/license/lukapecnik/niaaml.svg)](https://github.com/lukapecnik/niaaml/blob/master/LICENSE)
+[![Build Status](https://travis-ci.com/lukapecnik/NiaAML.svg?branch=master)](https://travis-ci.com/lukapecnik/NiaAML)
+[![Coverage Status](https://coveralls.io/repos/github/lukapecnik/NiaAML/badge.svg?branch=master)](https://coveralls.io/github/lukapecnik/NiaAML?branch=master)
 
 ![GitHub commit activity](https://img.shields.io/github/commit-activity/w/lukapecnik/niaaml.svg)
 [![Average time to resolve an issue](http://isitmaintained.com/badge/resolution/lukapecnik/niaaml.svg)](http://isitmaintained.com/project/lukapecnik/niaaml "Average time to resolve an issue")
@@ -166,8 +168,9 @@ Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/d
 <!-- markdownlint-disable -->
 <table>
   <tr>
-    <td align="center"><a href="https://github.com/lukapecnik"><img src="https://avatars0.githubusercontent.com/u/23029992?s=460&u=d1c802fd8c82af0a020b1e21af80a34d6e28fb10&v=4?s=100" width="100px;" alt=""/><br /><sub><b>Luka Pečnik</b></sub></a><br /><a href="https://github.com/lukapecnik/NiaAML/commits?author=lukapecnik" title="Code">💻</a> <a href="https://github.com/lukapecnik/NiaAML/commits?author=lukapecnik" title="Documentation">📖</a> <a href="https://github.com/lukapecnik/NiaAML/pulls?q=is%3Apr+reviewed-by%3Alukapecnik" title="Reviewed Pull Requests">👀</a> <a href="https://github.com/lukapecnik/NiaAML/issues?q=author%3Alukapecnik" title="Bug reports">🐛</a> <a href="#example-lukapecnik" title="Examples">💡</a></td>
-    <td align="center"><a href="https://github.com/firefly-cpp"><img src="https://avatars2.githubusercontent.com/u/1633361?v=4?s=100" width="100px;" alt=""/><br /><sub><b>firefly-cpp</b></sub></a><br /><a href="https://github.com/lukapecnik/NiaAML/commits?author=firefly-cpp" title="Code">💻</a> <a href="https://github.com/lukapecnik/NiaAML/issues?q=author%3Afirefly-cpp" title="Bug reports">🐛</a></td>
+    <td align="center"><a href="https://github.com/lukapecnik"><img src="https://avatars0.githubusercontent.com/u/23029992?s=460&u=d1c802fd8c82af0a020b1e21af80a34d6e28fb10&v=4?s=100" width="100px;" alt=""/><br /><sub><b>Luka Pečnik</b></sub></a><br /><a href="https://github.com/lukapecnik/NiaAML/commits?author=lukapecnik" title="Code">💻</a> <a href="https://github.com/lukapecnik/NiaAML/commits?author=lukapecnik" title="Documentation">📖</a> <a href="https://github.com/lukapecnik/NiaAML/pulls?q=is%3Apr+reviewed-by%3Alukapecnik" title="Reviewed Pull Requests">👀</a> <a href="https://github.com/lukapecnik/NiaAML/issues?q=author%3Alukapecnik" title="Bug reports">🐛</a> <a href="#example-lukapecnik" title="Examples">💡</a> <a href="https://github.com/lukapecnik/NiaAML/commits?author=lukapecnik" title="Tests">⚠️</a></td>
+    <td align="center"><a href="https://github.com/firefly-cpp"><img src="https://avatars2.githubusercontent.com/u/1633361?v=4?s=100" width="100px;" alt=""/><br /><sub><b>firefly-cpp</b></sub></a><br /><a href="https://github.com/lukapecnik/NiaAML/commits?author=firefly-cpp" title="Code">💻</a> <a href="https://github.com/lukapecnik/NiaAML/issues?q=author%3Afirefly-cpp" title="Bug reports">🐛</a> <a href="#mentoring-firefly-cpp" title="Mentoring">🧑‍🏫</a> <a href="#research-firefly-cpp" title="Research">🔬</a> <a href="#ideas-firefly-cpp" title="Ideas, Planning, & Feedback">🤔</a></td>
+    <td align="center"><a href="https://github.com/sisco0"><img src="https://avatars0.githubusercontent.com/u/25695302?v=4?s=100" width="100px;" alt=""/><br /><sub><b>sisco0</b></sub></a><br /><a href="#ideas-sisco0" title="Ideas, Planning, & Feedback">🤔</a></td>
   </tr>
 </table>
 

README.rst

@@ -1,6 +1,18 @@
 NiaAML
 ======
 
+.. image:: https://travis-ci.com/lukapecnik/NiaAML.svg?branch=master
+:target: https://travis-ci.com/lukapecnik/NiaAML
+
+.. image:: https://coveralls.io/repos/github/lukapecnik/NiaAML/badge.svg?branch=travisCI_integration
+:target: https://coveralls.io/github/lukapecnik/NiaAML?branch=travisCI_integration
+
+.. image:: https://img.shields.io/pypi/pyversions/niaaml.svg
+:target: https://pypi.org/project/NiaPy/
+
+.. image:: https://img.shields.io/github/license/lukapecnik/niaaml.svg
+:target: https://github.com/lukapecnik/niaaml/blob/master/LICENSE
+
 NiaAML is an automated machine learning Python framework based on
 nature-inspired algorithms for optimization. The name comes from the
 automated machine learning method of the same name [1]. Its

niaaml/tests/test_pipeline.py

@@ -12,7 +12,7 @@ class PipelineTestCase(TestCase):
     def setUp(self):
         self.__pipeline = Pipeline(
             feature_selection_algorithm=SelectKBest(),
-            feature_transform_algorithm=StandardScaler(),
+            feature_transform_algorithm=Normalizer(),
             classifier=Bagging()
         )
 
@@ -21,7 +21,7 @@ def test_pipeline_optimize_works_fine(self):
 
         self.assertIsInstance(self.__pipeline.get_classifier(), Bagging)
         self.assertIsInstance(self.__pipeline.get_feature_selection_algorithm(), SelectKBest)
-        self.assertIsInstance(self.__pipeline.get_feature_transform_algorithm(), StandardScaler)
+        self.assertIsInstance(self.__pipeline.get_feature_transform_algorithm(), Normalizer)
 
         accuracy = self.__pipeline.optimize(data_reader.get_x(), data_reader.get_y(), 10, 30, 'ParticleSwarmAlgorithm', 'Accuracy')
 
@@ -30,7 +30,7 @@ def test_pipeline_optimize_works_fine(self):
 
         self.assertIsInstance(self.__pipeline.get_classifier(), Bagging)
         self.assertIsInstance(self.__pipeline.get_feature_selection_algorithm(), SelectKBest)
-        self.assertIsInstance(self.__pipeline.get_feature_transform_algorithm(), StandardScaler)
+        self.assertIsInstance(self.__pipeline.get_feature_transform_algorithm(), Normalizer)
 
     def test_pipeline_run_works_fine(self):
         data_reader = CSVDataReader(src=os.path.dirname(os.path.abspath(__file__)) + '/tests_files/dataset_header_classes.csv', has_header=True, contains_classes=True)
@@ -70,7 +70,7 @@ def test_pipeline_export_text_works_fine(self):
     def test_pipeline_setters_work_fine(self):
         self.__pipeline.set_classifier(AdaBoost())
         self.__pipeline.set_feature_selection_algorithm(SelectPercentile())
-        self.__pipeline.set_feature_transform_algorithm(Normalizer())
+        self.__pipeline.set_feature_transform_algorithm(StandardScaler())
         self.__pipeline.set_selected_features_mask(numpy.ones([1, 1, 0, 0], dtype=bool))
 
         self.__y = numpy.array(['Class 1', 'Class 1', 'Class 1', 'Class 2', 'Class 1', 'Class 2',
@@ -85,5 +85,5 @@ def test_pipeline_setters_work_fine(self):
 
         self.assertIsInstance(self.__pipeline.get_classifier(), AdaBoost)
         self.assertIsInstance(self.__pipeline.get_feature_selection_algorithm(), SelectPercentile)
-        self.assertIsInstance(self.__pipeline.get_feature_transform_algorithm(), Normalizer)
+        self.assertIsInstance(self.__pipeline.get_feature_transform_algorithm(), StandardScaler)
         self.assertIsInstance(self.__pipeline.get_stats(), OptimizationStats)

pyproject.toml

@@ -22,6 +22,7 @@ NiaPy = "^2.0.0rc11"
 [tool.poetry.dev-dependencies]
 sphinx = "^3.3.1"
 sphinx-rtd-theme = "^0.5.0"
+coveralls = "^2.2.0"
 
 [build-system]
 requires = ["poetry>=0.12"]