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ValueError: Invalid data type <class 'pandas.core.frame.DataFrame'>
This occurs every time while running Benchmarks.evaluate over any ImageDataloader, both online at colab or locally.
How to Reproduce
Go to 'tutorial7_image_generation_using_mednist.ipynb'
Scroll down to last but one cell (remember to run previous cells prior to this one)
Click on 'running'
See error
Expected Behavior
If the cell runs well, it will produce the training process percentage as well as the evaluated metrics in the end.
Screenshots
System Information
Not correlated to any specific system
Additional Context
The reason for the error is that at the step of "create_from_info(pd.concat([X_gt_df, X_syn_df]), X_gt.info())", the first input would be a pd.Dataframe, however the from_info function called later is trying to identify if it's a torch.utils.data.Dataset given X_gt.info() extracted from ImageDataloader.
The text was updated successfully, but these errors were encountered:
Description
ValueError: Invalid data type <class 'pandas.core.frame.DataFrame'>
This occurs every time while running Benchmarks.evaluate over any ImageDataloader, both online at colab or locally.
How to Reproduce
Expected Behavior
If the cell runs well, it will produce the training process percentage as well as the evaluated metrics in the end.
Screenshots
System Information
Not correlated to any specific system
Additional Context
The reason for the error is that at the step of "create_from_info(pd.concat([X_gt_df, X_syn_df]), X_gt.info())", the first input would be a pd.Dataframe, however the from_info function called later is trying to identify if it's a torch.utils.data.Dataset given X_gt.info() extracted from ImageDataloader.
The text was updated successfully, but these errors were encountered: