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
@<1574931891478335488:profile|DizzyButterfly4> , what do you feel was lacking from the documentation? A usage example?
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?
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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