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PyCaret
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app.py

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data.head()
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from pycaret.classification import *
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clf1 = setup(data, target = 'Purchase', session_id=123, silent=True, html=False)
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pd.set_option("display.max_columns", 999)
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clf1 = setup(data, target = 'Purchase', session_id=123, silent=True, html=False, log_experiment=True, experiment_name='juice1')
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c = compare_models()
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save_model(c, 'model')
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logs_juice1 = get_logs(save=True)

requirements.txt

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pycaret-nightly==0.18
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pycaret-nightly==0.20

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