Skip to content
Snippets Groups Projects
Commit 53f7228d authored by juliano.souzaluz's avatar juliano.souzaluz
Browse files

norm des colonnes

parent b750110e
No related branches found
No related tags found
No related merge requests found
import numpy as np
import pandas as pd
if __name__ == '__main__':
dataset = pd.read_csv("Data/student-data-train.csv", header=0)
X = dataset.iloc[:, 1:].values
dataset['norm_grade_1'] = (dataset["grade_1"] - dataset["grade_1"].mean()) / dataset["grade_1"].std()
dataset['norm_grade_2'] = (dataset["grade_2"] - dataset["grade_2"].mean()) / dataset["grade_2"].std()
n = 1e-4 # taux d'apprentissage
max_iterations = 2000
# Init aléatoirement les poids w(i), 0<=i<=n
# répeter jusqua convergence :
# pour chaque exemple
# calculer la valeur de sortie o du réseau
# ajuster les poids :
0% Loading or .
You are about to add 0 people to the discussion. Proceed with caution.
Please register or to comment