”RandomForestC“ 的搜索结果

     #0.1拟合与预测：估计器基础 # ensemble中导入随机森林 from sklearn.ensemble import RandomForestClassifier clf = RandomForestClassifier(random_state=0) X = [[ 1, 2, 3], # 2 样本, 3 features...RandomForestC

     stacking讲解 stacking是用来模型融合的，可以把svm，lr等算法进行融合。以下是可能用到的包 import numpy as np import lightgbm as lgb from sklearn.datasets import ...from sklearn.ensemble import RandomForestC

     import os import re import numpy as np import pandas as pd from bs4 import BeautifulSoup from sklearn.feature_extraction.text import CountVectorizer #计数...from sklearn.ensemble import RandomForestC...

1   

推荐文章