Load a Model from an OML4Py Datastore

You can call the oml.ds.load function to load a spatial model from its datastore and use it to solve different problems.

The following code loads the object associated with the string spatial_model from the sai_ds datastore. Note that by setting to_globals=False, the oml.ds.load function returns a dictionary containing pairs of object names and values.

import oml
 
ds_objects = oml.ds.load('sai_ds', objs=['spatial_model'], to_globals=False)
my_spatial_model = ds_objects['spatial_model']

See Load Saved Objects From a Datastore in Oracle Machine Learning for Python User’s Guide for more information.

You can list all the objects saved in a datastore as shown:

print(oml.ds.dir())