本文整理汇总了Python中sklearn.model_selection.GridSearchCV.verbose方法的典型用法代码示例。如果您正苦于以下问题：Python GridSearchCV.verbose方法的具体用法？Python GridSearchCV.verbose怎么用？Python GridSearchCV.verbose使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类sklearn.model_selection.GridSearchCV的用法示例。
在下文中一共展示了GridSearchCV.verbose方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1:
# 需要导入模块: from sklearn.model_selection import GridSearchCV [as 别名]
# 或者: from sklearn.model_selection.GridSearchCV import verbose [as 别名]
# 'clf__C': [1.0, 10.0]},
# ]
## @Readers: PLEASE IGNORE THIS CELL
##
## This cell is meant to generate more
## "logging" output when this notebook is run
## on the Travis Continuous Integration
## platform to test the code as well as
## speeding up the run using a smaller
## dataset for debugging
if 'TRAVIS' in os.environ:
gs_lr_tfidf.verbose=2
X_train = df.loc[:250, 'review'].values
y_train = df.loc[:250, 'sentiment'].values
X_test = df.loc[25000:25250, 'review'].values
y_test = df.loc[25000:25250, 'sentiment'].values
gs_lr_tfidf.fit(X_train, y_train)
print('Best parameter set: %s ' % gs_lr_tfidf.best_params_)
print('CV Accuracy: %.3f' % gs_lr_tfidf.best_score_)