rasbt · rasbt · Mar 28, 2024 · Mar 28, 2024 · Mar 28, 2024 · Mar 28, 2024
diff --git a/.github/workflows/python-package-conda.yml b/.github/workflows/python-package-conda.yml
@@ -11,35 +11,34 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       max-parallel: 5
-
+    env:
+      GITHUB_ACTIONS_CI: true
     steps:
     - uses: actions/checkout@v2
-    - name: Set up Python 3.9
-      uses: actions/setup-python@v2
+    - name: Set up Miniconda
+      uses: conda-incubator/setup-miniconda@v2
       with:
+        auto-update-conda: true
         python-version: 3.9
-    - name: Add conda to system path
-      run: |
-        # $CONDA is an environment variable pointing to the root of the miniconda directory
-        echo $CONDA/bin >> $GITHUB_PATH
-    - name: Install packages and test with pytest
+        channels: conda-forge
+        activate-environment: mlxtend
+        environment-file: environment.yml
+        create-env-file: true
+
+    - name: Install dependencies and run tests
+      shell: bash -l {0}
       run: |
-        conda config --add channels conda-forge
-        conda update conda -y -q
-        conda env update --file environment.yml --name base
-        pip install scikit-learn==1.1.3 
-        pip install pandas==1.3.5
         conda install tensorflow joblib pytest -y -q
         conda install imageio scikit-image -y -q
         conda install dlib -y -q
-        pip install markdown
-        pip install coverage
-        pip install -e  .
+        pip install scikit-learn==1.1.3 pandas==1.3.5 markdown coverage
+        pip install -e .
         python -c "import numpy; print('NumPy:', numpy.__version__)"
         python -c "import scipy; print('SciPy:', scipy.__version__)"
         python -c "import sklearn; print('Scikit-learn:', sklearn.__version__)"
         python -c "import pandas; print('Pandas:', pandas.__version__)"
         coverage run --source=mlxtend --branch -m pytest mlxtend
         coverage xml
+
     - name: Upload Coverage to Codecov
-      uses: codecov/codecov-action@v2
+      uses: codecov/codecov-action@v2
diff --git a/mlxtend/classifier/adaline.py b/mlxtend/classifier/adaline.py
@@ -14,7 +14,6 @@
 
 
 class Adaline(_BaseModel, _IterativeModel, _Classifier):
-
     """ADAptive LInear NEuron classifier.
 
     Note that this implementation of Adaline expects binary class labels

diff --git a/mlxtend/classifier/ensemble_vote.py b/mlxtend/classifier/ensemble_vote.py
@@ -19,7 +19,6 @@
 
 
 class EnsembleVoteClassifier(BaseEstimator, ClassifierMixin, TransformerMixin):
-
     """Soft Voting/Majority Rule classifier for scikit-learn estimators.
 
     Parameters

diff --git a/mlxtend/classifier/logistic_regression.py b/mlxtend/classifier/logistic_regression.py
@@ -14,7 +14,6 @@
 
 
 class LogisticRegression(_BaseModel, _IterativeModel, _Classifier):
-
     """Logistic regression classifier.
 
     Note that this implementation of Logistic Regression

diff --git a/mlxtend/classifier/multilayerperceptron.py b/mlxtend/classifier/multilayerperceptron.py
@@ -17,7 +17,6 @@
 class MultiLayerPerceptron(
     _BaseModel, _IterativeModel, _MultiClass, _MultiLayer, _Classifier
 ):
-
     """Multi-layer perceptron classifier with logistic sigmoid activations
 
     Parameters

diff --git a/mlxtend/classifier/oner.py b/mlxtend/classifier/oner.py
@@ -17,7 +17,6 @@
 
 
 class OneRClassifier(BaseEstimator, ClassifierMixin):
-
     """OneR (One Rule) Classifier.
 
     Parameters

diff --git a/mlxtend/classifier/perceptron.py b/mlxtend/classifier/perceptron.py
@@ -14,7 +14,6 @@
 
 
 class Perceptron(_BaseModel, _IterativeModel, _Classifier):
-
     """Perceptron classifier.
 
     Note that this implementation of the Perceptron expects binary class labels

diff --git a/mlxtend/classifier/softmax_regression.py b/mlxtend/classifier/softmax_regression.py
@@ -16,7 +16,6 @@
 
 
 class SoftmaxRegression(_BaseModel, _IterativeModel, _Classifier, _MultiClass):
-
     """Softmax regression classifier.
 
     Parameters

diff --git a/mlxtend/classifier/stacking_classification.py b/mlxtend/classifier/stacking_classification.py
@@ -21,7 +21,6 @@
 
 
 class StackingClassifier(_BaseXComposition, _BaseStackingClassifier, TransformerMixin):
-
     """A Stacking classifier for scikit-learn estimators for classification.
 
     Parameters

diff --git a/mlxtend/classifier/stacking_cv_classification.py b/mlxtend/classifier/stacking_cv_classification.py
@@ -26,7 +26,6 @@
 class StackingCVClassifier(
     _BaseXComposition, _BaseStackingClassifier, TransformerMixin
 ):
-
     """A 'Stacking Cross-Validation' classifier for scikit-learn estimators.
 
     New in mlxtend v0.4.3

diff --git a/mlxtend/evaluate/tests/test_bias_variance_decomp.py b/mlxtend/evaluate/tests/test_bias_variance_decomp.py
@@ -113,7 +113,12 @@ def test_mse_bagging():
     APPVEYOR = False
 
 
-@pytest.mark.skipif(TRAVIS or APPVEYOR, reason="TensorFlow dependency")
+GITHUB_ACTIONS = os.getenv("GITHUB_ACTIONS_CI", "false").lower() == "true"
+
+
+@pytest.mark.skipif(
+    TRAVIS or APPVEYOR or GITHUB_ACTIONS, reason="TensorFlow dependency"
+)
 def test_keras():
     import tensorflow as tf
 

diff --git a/mlxtend/evaluate/tests/test_bootstrap_point632.py b/mlxtend/evaluate/tests/test_bootstrap_point632.py
@@ -158,7 +158,12 @@ def test_scoring_proba():
     APPVEYOR = False
 
 
-@pytest.mark.skipif(TRAVIS or APPVEYOR, reason="TensorFlow dependency")
+GITHUB_ACTIONS = os.getenv("GITHUB_ACTIONS_CI", "false").lower() == "true"
+
+
+@pytest.mark.skipif(
+    TRAVIS or APPVEYOR or GITHUB_ACTIONS, reason="TensorFlow dependency"
+)
 def test_keras_fitparams():
     import tensorflow as tf
 

diff --git a/mlxtend/externals/pyprind/__init__.py b/mlxtend/externals/pyprind/__init__.py
@@ -10,7 +10,6 @@
 PyPI: https://pypi.python.org/pypi/PyPrind
 """
 
-
 from .generator_factory import prog_bar, prog_percent
 from .progbar import ProgBar
 from .progpercent import ProgPercent

diff --git a/mlxtend/externals/pyprind/prog_class.py b/mlxtend/externals/pyprind/prog_class.py
@@ -10,7 +10,6 @@
 PyPI: https://pypi.python.org/pypi/PyPrind
 """
 
-
 import os
 import sys
 import time

diff --git a/mlxtend/externals/pyprind/progbar.py b/mlxtend/externals/pyprind/progbar.py
@@ -10,7 +10,6 @@
 PyPI: https://pypi.python.org/pypi/PyPrind
 """
 
-
 import time
 from math import floor
 

diff --git a/mlxtend/feature_selection/exhaustive_feature_selector.py b/mlxtend/feature_selection/exhaustive_feature_selector.py
@@ -26,7 +26,6 @@
 
 
 class ExhaustiveFeatureSelector(BaseEstimator, MetaEstimatorMixin):
-
     """Exhaustive Feature Selection for Classification and Regression.
        (new in v0.4.3)
 

diff --git a/mlxtend/feature_selection/sequential_feature_selector.py b/mlxtend/feature_selection/sequential_feature_selector.py
@@ -25,7 +25,6 @@
 
 
 class SequentialFeatureSelector(_BaseXComposition, MetaEstimatorMixin):
-
     """Sequential Feature Selection for Classification and Regression.
 
     Parameters

diff --git a/mlxtend/plotting/plot_confusion_matrix.py b/mlxtend/plotting/plot_confusion_matrix.py
@@ -156,9 +156,11 @@ def plot_confusion_matrix(
                     s=cell_text,
                     va="center",
                     ha="center",
-                    color="white"
-                    if conf_mat[i, j] > np.max(conf_mat) * fontcolor_threshold
-                    else "black",
+                    color=(
+                        "white"
+                        if conf_mat[i, j] > np.max(conf_mat) * fontcolor_threshold
+                        else "black"
+                    ),
                 )
     if class_names is not None:
         tick_marks = np.arange(len(class_names))

diff --git a/mlxtend/preprocessing/mean_centering.py b/mlxtend/preprocessing/mean_centering.py
@@ -10,7 +10,6 @@
 
 
 class MeanCenterer(object):
-
     """Column centering of vectors and matrices.
 
     Attributes

diff --git a/mlxtend/regressor/linear_regression.py b/mlxtend/regressor/linear_regression.py
@@ -14,7 +14,6 @@
 
 
 class LinearRegression(_BaseModel, _IterativeModel, _Regressor):
-
     """Ordinary least squares linear regression.
 
     Parameters

diff --git a/mlxtend/regressor/stacking_regression.py b/mlxtend/regressor/stacking_regression.py
@@ -19,7 +19,6 @@
 
 
 class StackingRegressor(_BaseXComposition, RegressorMixin, TransformerMixin):
-
     """A Stacking regressor for scikit-learn estimators for regression.
 
     Parameters

diff --git a/mlxtend/utils/counter.py b/mlxtend/utils/counter.py
@@ -11,7 +11,6 @@
 
 
 class Counter(object):
-
     """Class to display the progress of for-loop iterators.
 
     Parameters