うんこｐ - 経済統計練習帳

from sklearn import datasets
import numpy as np
from sklearn.cross_validation import train_test_split
from sklearn.linear_model import Perceptron
from sklearn.preprocessing import StandardScaler
iris = datasets.load_iris()
x = iris.data[:, [2, 3]]
y = iris.target
x_tr, x_t, y_tr, y_t = train_test_split(x, y, test_size=0.3, random_state=0)
sc = StandardScaler()
sc.fit(x_tr)
x_tr_std = sc.transform(x_tr)
x_t_std = sc.transform(x_t)
ppn = Perceptron(n_iter=40, eta0=0.1, random_state=0)
ppn.fit(x_tr_std, y_tr)
 
print(x_tr)