29 lines
1.1 KiB
Python
29 lines
1.1 KiB
Python
from load_dataset import load_data, analisis_univariado
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#from trainer import BinaryTuner
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import pandas as pd
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import numpy as np
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import warnings
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warnings.filterwarnings("ignore")
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_, dms2, dms3, _ = load_data()
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with pd.ExcelWriter("Univariado2.xlsx", engine='xlsxwriter') as xls:
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mody2 = analisis_univariado(dms2.dropna(), target="MODY2_label", continuas=['edad diag', 'IMC', 'glu ayu', 'glu 120','A1c'], discretas=['sexo', 'diabetes_familia'])
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mody2.to_excel(xls, sheet_name='MODY2', index=False)
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mody3 = analisis_univariado(dms3.dropna(), target="MODY3_label", continuas=['edad diag', 'IMC', 'glu ayu', 'glu 120','A1c'], discretas=['sexo', 'diabetes_familia'])
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mody3.to_excel(xls, sheet_name='MODY3', index=False)
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# mody2 = BinaryTuner(dms2, 'MODY2_label', seeds=[231964], test_size=0.2)
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# mody2.fit()
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# mody2.explain_model('GaussianNB', 'fulldataset-oversampled-mice', 231964)
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# mody2.wrap_and_save()
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#
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#
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# mody3 = BinaryTuner(dms3, 'MODY3_label', seeds=[536202], test_size=0.2)
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# mody3.fit()
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# mody3.explain_model('RandomForestClassifier', 'fulldataset-original-mice', 536202)
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# mody3.wrap_and_save()
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