#python #source #code #example #simple #optimization #parameter #feature #selection from sklearn.linear_model import Lasso # finding alpha value with graph alpha_list = [0.001, 0.01, 0.1, 1, 10, 100, 1000, 10000, 100000, 1000000] test_score = [] train_score = [] for alpha in alpha_list: lasso = Lasso(alpha=alpha, max_iter=10000).fit(x_train, y_train) train_score.append(lasso.score(x_train, y_train)) test_score.append(lasso.score(x_test, y_test)) plt.plot(np.log10(alpha_list), train_score) plt.pl...
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원문 링크 : (Lasso parameter optimization, feature selection python) 라쏘회귀 파라미터 최적화 검색 및 변수선정 (python 소스코드)
