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This repository has been archived by the owner on Jul 17, 2023. It is now read-only.
There has been positive feedback of the dropdownlists made from the data, but it might be nice to comment this bit more for users new to DataTable: what is the data structure of columns, etc. Maybe even make this a functions that takes a datatable object and returns a dropdownlist or picker
# Get a list of unique values of a particular column and prepare choices for dropdown component
features = ['country', 'price', 'province', 'region_1', 'variety', 'winery']
columns = {f: dt.unique(df[f]).to_list()[0] for f in features}
choices = {key: [ui.choice(str(item)) for item in columns[key] if item] for key in columns}
When someone filters by region, it would be nice to show how to filter the other drop down items appropriately
AutoML is ran every time someone starts the app, it might be nice to add the save_model and get_model features as part of this demo which would also reduce run time if a model already exists.
The text was updated successfully, but these errors were encountered:
columns
, etc. Maybe even make this a functions that takes a datatable object and returns a dropdownlist or pickerWhen someone filters by region, it would be nice to show how to filter the other drop down items appropriately
AutoML is ran every time someone starts the app, it might be nice to add the
save_model
andget_model
features as part of this demo which would also reduce run time if a model already exists.The text was updated successfully, but these errors were encountered: