def set_opening(self):
# Récupération des donnees
data_opening = op.DataOpening()
data_train = data_opening.get_training_data()
data_test = data_opening.get_testing_data()
data_ref = data_opening.get_referencing_data()
return data_train, data_test, data_ref
# Test du fichier "ridge.py" import bin.data_opening as op import bin.treatment as tr import bin.ridge as rd import seaborn as sns import matplotlib.pyplot as plt from sklearn.metrics import confusion_matrix # Récupération des donnees data_opening = op.DataOpening() data_train = data_opening.get_training_data() data_test = data_opening.get_testing_data() data_ref = data_opening.get_referencing_data() # Traitement des donnees treatment = tr.Treatment() data_train = treatment.data_treatment(data_train) data_test = treatment.data_treatment(data_test) # Affiliation des donnees x_train = data_train.drop(["Survived"], axis=1) t_train = data_train["Survived"] x_test = data_test t_test = data_ref["Survived"] # Classification par ridge ridge = rd.Ridge()
