Using datasets

Modelbit Datasets can be used for snap-shotting training data as well as feature stores for deployed models.

To access a list of available datasets, in your notebook run:

mb.datasets()

The output will list your datasets:

Name       Date Refreshed     SQL Updated     Rows   Bytes
taxis          2 days ago      3 days ago   85,000    6 MB
squirrels     3 hours ago       1 day ago    3,023  625 KB
nba games  10 minutes ago  10 minutes ago  626,111   68 MB

To download a dataset into memory as a Pandas DataFrame:

df = mb.get_dataset("nba games")

You can then use df as training data for your models.

If instead you want to use the dataset within your deployment, move on to the next section on feature stores.