Make errors on uploads more user-friendly #570
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This error comes from validateDataset.py. Related to this, uploading a dataset with a non-numeric data feature or target variable is allowed, but building experiments errors out with error "ValueError: Could not Convert String to Float: 'Iris Setosa'" Steps to recreate: Upload the attached iris.csv where the "target" is a String. The file will be accepted, but experiments will fail. We should reject any invalid datasets with user-friendly error messages. |
HyunjunA
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Jan 31, 2023
Update react and validateDataset.py to make errors on uploads more user-friendly
HyunjunA
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Feb 1, 2023
Update validateDataset.py to show errors on uploads more user-friendly
HyunjunA
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Feb 2, 2023
Update error message for each case in validateDataset.py Update labApi.test.ts Update react to show error message for each case
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Confirmed that the errors have been made more user friendly, here's an example: |
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We should have more specific errors so it's easier for users to fix the error and try uploading the dataset again. See attached screenshot for an example:
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