From a5984647a3c15865f7838563ea72dfc4f4b403a3 Mon Sep 17 00:00:00 2001 From: Israel Figueroa Date: Fri, 17 Jan 2025 01:40:14 -0300 Subject: [PATCH] sop --- train.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/train.py b/train.py index 9d9f22e..4101ace 100644 --- a/train.py +++ b/train.py @@ -8,14 +8,14 @@ warnings.filterwarnings("ignore") _, dms2, dms3, _ = load_data() -resultados = analisis_univariado(dms2.dropna(), target="MODY2_label", continuas=['edad diag', 'IMC', 'glu ayu', 'glu 120','A1c'], discretas=['sexo', 'diabetes_familia']) -print(resultados) +with pd.ExcelWriter("Univariado.xlsx", engine='xlsxwriter') as xls: + mody2 = analisis_univariado(dms2.dropna(), target="MODY2_label", continuas=['edad diag', 'IMC', 'glu ayu', 'glu 120','A1c'], discretas=['sexo', 'diabetes_familia']) + mody2.to_excel(xls, sheet_name='MODY2', index=False) + mody3 = analisis_univariado(dsm3.dropna(), target="MODY3_label", continuas=['edad diag', 'IMC', 'glu ayu', 'glu 120','A1c'], discretas=['sexo', 'diabetes_familia']) + mody3.to_excel(xls, sheet_name='MODY3', index=False) -resultados = analisis_univariado(dms3.dropna(), target="MODY3_label", continuas=['edad diag', 'IMC', 'glu ayu', 'glu 120','A1c'], discretas=['sexo', 'diabetes_familia']) -print(resultados) - # mody2 = BinaryTuner(dms2, 'MODY2_label', seeds=[231964], test_size=0.2) # mody2.fit() # mody2.explain_model('GaussianNB', 'fulldataset-oversampled-mice', 231964)