yuhengshi的博客

网格搜索用来寻找模型最佳的超参数 环境 python==3.7 scikit-learn==0.24.1 使用方式 import numpy as np from sklearn import datasets from sklearn.model_selection import GridSearchCV from sklearn.pipeline import Pipeline from sklearn.preprocessing import StandardScaler from skle.

环境 scikit-learn==0.21.3 python==3.7 numpy==1.16.4 jupyter 数据集 使用sklearn鸢尾花数据集，是个字典，keys有[‘data’, ‘target’, ‘target_names’, ‘DESCR’, ‘feature_names’, ‘filename’], data有四个特征 from sklearn import datasets iris = datasets.load_iris() print(list(iris.keys()))