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ds11mltoolkit.egg-info/PKG-INFO

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ds11mltoolkit.egg-info/SOURCES.txt

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ds11mltoolkit.egg-info/dependency_links.txt

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ds11mltoolkit.egg-info/requires.txt

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ds11mltoolkit.egg-info/top_level.txt

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ds11mltoolkit/machine_learning.py

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@@ -171,7 +171,7 @@ def create_multiclass_prediction_df(model, class_names: List[str], X_test: Union
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# return the dataframe
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return model_predictions_df
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def quickregression(name):
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def quickregression(name, X_train, X_test, y_train, y_test):
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"""
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Function to save time when doing Machine Learning models.

setup.py

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from distutils.core import setup
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from pathlib import Path
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this_directory = Path(__file__).parent
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long_description = (this_directory / "README.md").read_text()
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setup(
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name = 'ds11mltoolkit',
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packages = ['ds11mltoolkit'],
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version = '1.6',
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version = '1.7',
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license = 'MIT',
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description = 'Helper functions for all stages of the machine learning model building process',
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long_description = long_description,
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long_description_content_type='text/markdown',
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author = 'TheBridgeMachineLearningPythonLibrary',
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author_email = 'seenstevol@protonmail.com',
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url = 'https://github.com/TheBridgeMachineLearningPythonLibrary/MachineLearningToolKit',
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download_url = 'https://github.com/TheBridgeMachineLearningPythonLibrary/MachineLearningToolKit/archive/refs/tags/v_1_6.tar.gz',
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download_url = 'https://github.com/TheBridgeMachineLearningPythonLibrary/MachineLearningToolKit/archive/refs/tags/v_1_7.tar.gz',
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keywords = ['machine learning', 'data visualization', 'data processing', 'sklearn', 'pandas'],
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install_requires=['pandas',
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'scipy',

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