机器学习导包总结

目录

特征工程​​​​​

#数据预处理
from sklearn.preprocessing import MinMaxScaler                              #归一化
from sklearn.preprocessing import StandardScaler                            #标准化
from sklearn.preprocessing import OneHotEncoder                             #one_hote编码
from sklearn.preprocessing import LabelEncoder                              #顺序编码
from sklearn.preprocessing import PolynomialFeatures                        #添加几次的多项式特征
#数据集的分割处理
from sklearn.model_selection import train_test_split                        #训练集测试集划分
from sklearn.model_selection import StratifiedKFold                         #交叉验证
from sklearn.model_selection import KFold                                   #交叉验证
from sklearn.model_selection import RandomizedSearchCV                      #随机搜索
from sklearn.model_selection import GridSearchCV                            #网格搜索
#不常用
from sklearn.model_selection import StratifiedShuffleSplit                  #多次划分(分层分割)
from sklearn.model_selection import ShuffleSplit                            #多次划分(随机分割)
from sklearn.model_selection import LeaveOneOut                             #留一法
from sklearn.model_selection import LeavePOut                               #留P法
#数据填充
from sklearn.impute import SimpleImputer                                    # K近邻的方式填充缺失值
#%% md

---