针对你提出的“name 'f1_score' is not defined”问题,我将根据提供的tips进行逐一分析并给出相应的解决方案。 确认f1_score的来源库: f1_score是一个常用的评估指标,通常用于分类任务中,衡量模型的精确度。在Python的机器学习库中,f1_score函数通常由sklearn.metrics模块提供。 检查是否已正确导入该库: 在使用f1...
NameError: name 'f1' is not defined. Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment Assignees No one assigned Labels None yet Projects None yet Milestone No milestone Development No branches or pull requests 1 participant Footer...
fix: NameError: name 'exit' is not defined Browse files main liumingye committed Sep 1, 2024 1 parent 7a5133f commit 647c36d Showing 1 changed file with 2 additions and 1 deletion. Whitespace Ignore whitespace Split Unified 3 changes: 2 additions & 1 deletion 3 py-service/ocr_server...
clf仅在feature_importance方法范围内定义。的值clf不会存储在此方法之外的任何地方，因此一旦您离开该方法...
['test_f1_score']) self.log('test_acc', sum(outs)/len(outs)) self.log('test_f1_score', sum(outs2)/len(outs2)) self.test_step_outputs.clear() def configure_optimizers(self): # optimizer = torch.optim.Adam(self.parameters(), lr=3e-2) optimizer = torch.optim.Adam(self....
ConfirmParseException(e,"Specified named range 'pf1' does not exist in the current workbook."); } cell.CellFormula = ("count(fp1)");// plain cell ref, col is in range} 开发者ID:Reinakumiko,项目名称:npoi,代码行数:38,代码来源:TestFormulaParser.cs ...
for iter,_ in l 提取了l=[(“f1”,‘g1’),(“f2”,“g2”)]两个的第一个数字,屏蔽了第二个g1/g2 然后f1 f2赋值给了前面的函数,函数内容是iter:np.zeros(2),那么就是出现out[17]的结果。 for _ in h,完全就是repeat两次。 5、while - 重复执行 无限循环的时候,可以用ctrl + C结束。 wh...
第一天学习django,报错NameError: name 'include' is not defined,来记录一下错误 上网一查只用在django自动生成的包urls...
讲解对象:NameError: name 'include_docs_urls' is not defined 作者:融水公子 rsgz 问题:出现了这样的情况 NameError: name 'include_docs_urls' is not defined 分析:可能是你没有导入相关的模块 from rest_framework.documentation import include_docs_urls ...
print("Number of neighbors is: {}".format(n)) train_predict(knn, X_train_cv, y_train_cv, X_test_cv, y_test_cv) clf_ = knn.fit(X_train, y_train) y_pred = clf_.predict(X_test) neighbors.append(n) accuracy.append( str(("%.2f" %(accuracy_score(y_test,y_pred)* 100) )...