The metadata would relate to the entire dataset.
For your use case I think what's relevant is HyperDatasets
John, regarding documentation - what is mainly missing is how he dataframe / numpy / dict is structures. Yes, an example would be helpful
Thanks John. But does the metadata relate to the entire dataset or individual elements in the dataset?
For example, lets say I have a dataset of images, and I would like to attach metadata to each image - e.g. a "type" field which could have values 1,2,3,4,5...
How would the dataframe be constructed? I assume one column would contain an ID identifying the image, and the other column would be "type". If this is the case, what would the ID be?
@<1574931891478335488:profile|DizzyButterfly4> , what do you feel was lacking from the documentation? A usage example?
It looks like there is a mistake on the website. I'll let the ones in charge to fix it ASAP, thanks for the heads up!
Hi @<1574931891478335488:profile|DizzyButterfly4> , I think if you have a pandas object pd then the usage would be something like ds.set_metadata(metadata=pd, metadata_name="my pandas object")
I think you would be referencing the entire thing using the metadata_name parameter
OK so if I understand correctly, you can only add metadata to items in the enterprise version.
Just to confirm, the screen shot in the dataops pages here refers to the enterprise version?
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