Help Center/
ModelArts/
Troubleshooting/
Training Jobs/
Service Code Issues/
Error Message "DataFrame.dtypes for data must be int, float or bool" Is Displayed in Logs
Updated on 2025-06-06 GMT+08:00
Error Message "DataFrame.dtypes for data must be int, float or bool" Is 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 your training code and minimize migration errors.
- Use the notebook environment for online debugging. For details, see Using JupyterLab to Develop Models.
- Use a local IDE (PyCharm or VS Code) to access the cloud environment for debugging. For details, see Using a Local IDE to Develop Models.
Parent topic: Service Code Issues
Feedback
Was this page helpful?
Provide feedbackThank you very much for your feedback. We will continue working to improve the documentation.See the reply and handling status in My Cloud VOC.
The system is busy. Please try again later.
For any further questions, feel free to contact us through the chatbot.
Chatbot
