Use the drop() method to drop the FilterManager and its associated artifacts from the repository.
There are no parameters for this method.
Example: Drop the FilterManager and its Artifacts
>>> from teradataml import load_example_data, DataFrame, FeatureStore, FilterManager
>>> load_example_data('dataframe', 'admissions_train')
>>> df = DataFrame("admissions_train")
Create a FeatureStore.
>>> fs = FeatureStore(repo='vfs_v1', data_domain='sales')
Repo vfs_v1 does not exist. Run FeatureStore.setup() to create the repo and setup FeatureStore.
>>> fs.setup()
Create a FilterManager and load filter definitions.
>>> fm = FilterManager(repo='vfs_v1', name='stats_filter_manager')
Filter Manager 'stats_filter_manager' does not exist. Run FilterManager.load_filter() to create it.
>>> fm.load_filter(df=df.groupby('stats').count()[['stats']])
True
Drop the FilterManager and its artifacts.
>>> fm.drop()
True