"""
将linearsvm挑选的tfidf(word)特征和lr挑选的tfidf(article)
"""
import pickle
from scipy import sparse
from scipy.sparse import hstack
with open('linearsvm-tfidf(word).pkl', 'rb')as f_1:
x_train_1, y_train, x_test_1 = pickle.load(f_1)
with open('lr-tfidf(article).pkl', 'rb')as f_2:
x_train_2, y_train, x_test_2 = pickle.load(f_2)
x_train = hstack([x_train_1, x_train_2])
x_test = hstack([x_test_1, x_test_2])
data = (x_train, y_train, x_test)
with open('linearsvm-tfidf(word)+lr-tfidf(article).pkl', 'wb')as f:
pickle.dump(data, f)
组合特征(四)linearsvm-tfidf(word)+lr-tfidf(article)
猜你喜欢
转载自blog.csdn.net/Datawhale/article/details/82911839
今日推荐
周排行