Upload app.py

app.py

@@ -54,7 +54,7 @@ tabpfn = TabPFNClassifier(device='cpu', N_ensemble_configurations=8)
 y1_model = tabpfn
 y1_model = y1_model.fit(x1, y1, overwrite_warning=True)
 
-y1_calib_model = CalibratedClassifierCV(y1_model, method='sigmoid', cv='prefit')
+y1_calib_model = CalibratedClassifierCV(y1_model, method='isotonic', cv='prefit')
 y1_calib_model = y1_calib_model.fit(x1_valid.astype(np.float64), y1_valid.astype(np.float64))
 
 y1_explainer = shap.Explainer(y1_model.predict, x1)