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View Code? Open in Web Editor NEWA framework to create powerful and flexible data products combining automation, analytics, and AI using Notebook templates.
A framework to create powerful and flexible data products combining automation, analytics, and AI using Notebook templates.
Add example in data product boiler plate with Yahoo Finance use case.
inputs
models:
outputs:
Today, in models folder the basic and advanced makes it confusing, and there is no pipeline file by default.
This will be created in a new "basic" branch and should also be updated in the "Start a data product" notebook template.
cc @FlorentLvr
I used this repository as a template just now and deleted the models/advanced
directory, while doing so I figured that there are a lot of pipeline execution store in this template when I think they should not be there: https://github.com/jupyter-naas/data-product-framework/tree/main/models/advanced/schedulers/pipeline_executions
I don't know if there is an impact so I did no do it @FlorentLvr @Dr0p42 but this is not a template, it makes thing confusing with the awesome-notebooks templates
Inject parameters in notebook steps to use notebook as component of your pipeline.
Basically downloading the source data of the data product + any assets created to showcase them in the Naas Chat module.
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