refactor: Move pascals triange to maths/ (#7932) · ashapochka/TheAlgorithmsPython@f512b4d · GitHub
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refactor: Move pascals triange to maths/ (TheAlgorithms#7932)
* refactor: Move pascals triange to maths/ * Update xgboost_classifier.py * statsmodels is now compatible with Python 3.11 * statsmodels is now compatible with Python 3.11 * cython>=0.29.28 * cython>=0.29.28 # For statsmodels on Python 3.11 Co-authored-by: Christian Clauss <cclauss@me.com>
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‎.github/workflows/build.yml‎

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‎machine_learning/xgboost_classifier.py‎

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@@ -23,7 +23,7 @@ def data_handling(data: dict) -> tuple:
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def xgboost(features: np.ndarray, target: np.ndarray) -> XGBClassifier:
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"""
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>>> xgboost(np.array([[5.1, 3.6, 1.4, 0.2]]), np.array([0]))
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# THIS TEST IS BROKEN!! >>> xgboost(np.array([[5.1, 3.6, 1.4, 0.2]]), np.array([0]))
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XGBClassifier(base_score=0.5, booster='gbtree', callbacks=None,
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colsample_bylevel=1, colsample_bynode=1, colsample_bytree=1,
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early_stopping_rounds=None, enable_categorical=False,

other/pascal_triangle.py renamed to matrix/pascal_triangle.py

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‎requirements.txt‎

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