I saw https://clear.ml/docs/latest/docs/references/sdk/dataset/#verify_dataset_hash - but I don't think it is the correct one. the https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.shape.html property
Hi OutrageousSheep60 ,
I guess ClearML has an internal function to check hash. You can follow the code and see what is being used and use something similar to validate.
How does you dataframe.shape look?
shape -> tuple([int],[int])
I decided to use
._task.upload_artifact(name='metadata', artifact_object=metadata)
where metadata is a dict
metadata = {**metadata, **{"name":f"{Path(file_tmp_path).name}", "shape": f"{df.shape}"}}
We need to convert it a DataFrame since
Displaying metadata in the UI is only supported for pandas Dataframes for now. Skipping!
About 2. I'm not familiar in depth with it. What does it come out as? Text?