AttributeError:"GridSearchCV"对象没有属性"cv_results_" [英] AttributeError: 'GridSearchCV' object has no attribute 'cv_results_'

问题描述

我尝试应用此代码:

pipe = make_pipeline(TfidfVectorizer(min_df=5), LogisticRegression())
param_grid = {'logisticregression__C': [ 0.001, 0.01, 0.1, 1, 10, 100],
              "tfidfvectorizer__ngram_range": [(1, 1),(1, 2),(1, 3)]} 

grid = GridSearchCV(pipe, param_grid, cv=5)
grid.fit(text_train, Y_train)

scores = grid.cv_results_['mean_test_score'].reshape(-1, 3).T
# visualize heat map
heatmap = mglearn.tools.heatmap(
scores, xlabel="C", ylabel="ngram_range", cmap="viridis", fmt="%.3f",
xticklabels=param_grid['logisticregression__C'],
yticklabels=param_grid['tfidfvectorizer__ngram_range'])
plt.colorbar(heatmap)

但是我有这个错误:

AttributeError: 'GridSearchCV' object has no attribute 'cv_results_'

推荐答案

已解决！ 在0.18.1 conda scikit Learn " >如何在anaconda中升级scikit-learn软件包.

Solved ! Uninstall and install conda scikit learn in 0.18.1 How to upgrade scikit-learn package in anaconda.

当我导入GridSearch时:

When I import GridSearch :

from sklearn.model_selection import GridSearchCV

这篇关于AttributeError:"GridSearchCV"对象没有属性"cv_results_"的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！