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Error Message "DataFrame.dtypes for data must be int, float or bool" Displayed in Logs
Updated on 2024-04-11 GMT+08:00
Error Message "DataFrame.dtypes for data must be int, float or bool" Displayed in Logs
Symptom
The following error message is displayed during training:
DataFrame.dtypes for data must be int, float or bool
Possible Causes
The possible cause is as follows:
The training data is not of the int, float, or bool type.
Solution
Run the following commands to convert the error column:
from sklearn import preprocessing lbl = preprocessing.LabelEncoder() train_x['acc_id1'] = lbl.fit_transform(train_x['acc_id1'].astype(str))
Summary and Suggestions
Before creating a training job, use the ModelArts development environment to debug the training code to maximally eliminate errors in code migration.
- Use the online notebook environment for debugging. For details, see JupyterLab Overview and Common Operations.
- Use a local IDE (PyCharm or VS Code) to access the cloud environment for debugging. For details, see Operation Process in a Local IDE.
Parent topic: Service Code Issues
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