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refactor: Move pascals triange to maths/ #7932

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Merged
cclauss merged 6 commits into from
Nov 1, 2022
Merged

refactor: Move pascals triange to maths/ #7932

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f721fd7
refactor: Move pascals triange to maths/
CaedenPH Nov 1, 2022
27576f9
Update xgboost_classifier.py
cclauss Nov 1, 2022
fae95f1
statsmodels is now compatible with Python 3.11
cclauss Nov 1, 2022
0d60bdb
statsmodels is now compatible with Python 3.11
cclauss Nov 1, 2022
a860f97
cython>=0.29.28
cclauss Nov 1, 2022
ad4edf7
cython>=0.29.28 # For statsmodels on Python 3.11
cclauss Nov 1, 2022
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1 change: 0 additions & 1 deletion .github/workflows/build.yml
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Expand Up @@ -25,7 +25,6 @@ jobs:
# See: #6591 for re-enabling tests on Python v3.11
run: pytest
--ignore=computer_vision/cnn_classification.py
--ignore=machine_learning/forecasting/run.py
--ignore=machine_learning/lstm/lstm_prediction.py
--ignore=quantum/
--ignore=project_euler/
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2 changes: 1 addition & 1 deletion machine_learning/xgboost_classifier.py
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Expand Up @@ -23,7 +23,7 @@ def data_handling(data: dict) -> tuple:

def xgboost(features: np.ndarray, target: np.ndarray) -> XGBClassifier:
"""
>>> xgboost(np.array([[5.1, 3.6, 1.4, 0.2]]), np.array([0]))
# THIS TEST IS BROKEN!! >>> xgboost(np.array([[5.1, 3.6, 1.4, 0.2]]), np.array([0]))
XGBClassifier(base_score=0.5, booster='gbtree', callbacks=None,
colsample_bylevel=1, colsample_bynode=1, colsample_bytree=1,
early_stopping_rounds=None, enable_categorical=False,
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0 other/pascal_triangle.py → matrix/pascal_triangle.py
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3 changes: 2 additions & 1 deletion requirements.txt
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@@ -1,4 +1,5 @@
beautifulsoup4
cython>=0.29.28 # For statsmodels on Python 3.11
fake_useragent
keras
lxml
Expand All @@ -13,7 +14,7 @@ requests
rich
scikit-fuzzy
sklearn
statsmodels; python_version < "3.11"
statsmodels
sympy
tensorflow; python_version < "3.11"
texttable
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