为什么会出现不平衡的包装错误?如何使用不平衡的包裹功能?

时间:2019-10-12 03:50:06

标签: tensorflow scikit-learn

在学习Kaggle的内核时,我遇到了以下错误: imblearn软件包。怎么了?

我输入如下代码:

from imblearn.pipeline import make_pipeline as imbalanced_make_pipeline
from imblearn.over_sampling import SMOTE
from imblearn.under_sampling import NearMiss
from imblearn.metrics import classification_report_imbalanced
from sklearn.metrics import precision_score, recall_score, f1_score, roc_auc_score, accuracy_score, classification_report
from collections import Counter
from sklearn.model_selection import KFold, StratifiedKFold
import warnings
warnings.filterwarnings("ignore")

我遇到了类似的错误:

  

ImportError错误回溯(最近一次呼叫结束)---->从imblearn.pipeline导入make_pipeline,从imblearn.over_sampling导入为imbalanced_make_pipeline 2,从imblearn.under_sampling导入SMOTE 3,从imblearn.metrics导入NearMiss 4,从sklearn导入分类_report_imbalanced 5 .metrics import precision_score,recall_score,f1_score,roc_auc_score,precision_score,classification_report

并已尝试pip install -U imbalanced-learn

0 个答案:

没有答案