anaconda3-5.3.1-windows-x86_64
时间: 2023-04-25 18:04:30 浏览: 123
anaconda3-5.3.1-windows-x86_64是一个Python编程环境,适用于Windows 64位操作系统。它包含了许多常用的Python库和工具,可以方便地进行数据分析、机器学习、科学计算等任务。同时,它也提供了一个交互式的开发环境Jupyter Notebook,可以帮助用户更加高效地进行Python编程。
相关问题
Traceback (most recent call last): File "D:\Program Files (x86)\Anaconda3-5.3.1\lib\site-packages\sklearn\model_selection\_validation.py", line 761, in _score scores = scorer(estimator, X_test, y_test) File "D:\Program Files (x86)\Anaconda3-5.3.1\lib\site-packages\sklearn\metrics\_scorer.py", line 103, in __call__ score = scorer._score(cached_call, estimator, *args, **kwargs) File "D:\Program Files (x86)\Anaconda3-5.3.1\lib\site-packages\sklearn\metrics\_scorer.py", line 264, in _score return self._sign * self._score_func(y_true, y_pred, **self._kwargs) File "D:\Program Files (x86)\Anaconda3-5.3.1\lib\site-packages\sklearn\metrics\_classification.py", line 1123, in f1_score return fbeta_score( File "D:\Program Files (x86)\Anaconda3-5.3.1\lib\site-packages\sklearn\metrics\_classification.py", line 1261, in fbeta_score _, _, f, _ = precision_recall_fscore_support( File "D:\Program Files (x86)\Anaconda3-5.3.1\lib\site-packages\sklearn\metrics\_classification.py", line 1544, in precision_recall_fscore_support labels = _check_set_wise_labels(y_true, y_pred, average, labels, pos_label) File "D:\Program Files (x86)\Anaconda3-5.3.1\lib\site-packages\sklearn\metrics\_classification.py", line 1348, in _check_set_wise_labels y_type, y_true, y_pred = _check_targets(y_true, y_pred) File "D:\Program Files (x86)\Anaconda3-5.3.1\lib\site-packages\sklearn\metrics\_classification.py", line 93, in _check_targets raise ValueError( ValueError: Classification metrics can't handle a mix of multiclass and continuous targets
这个错误通常意味着你正在使用一个分类模型来预测连续型目标变量,或者你的目标变量是一个混合了多个类别和连续型值的数据集。
建议你检查一下你的目标变量的数据类型是否正确,并且确保你正在使用正确的模型来处理你的数据集。如果你的数据集中有连续型的目标变量,你可以考虑使用回归模型来预测它们。如果你的数据集中有多个类别的目标变量,你可以使用分类模型来预测它们,但要注意分类模型的输出格式。
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