get_filter_manager() | FeatureStore List Method | Teradata Package for Python - get_filter_manager() - Teradata Package for Python

Use the get_filter_manager() method to retrieve a FilterManager based on the feature store's repo and name.

Required Parameter

name

Specifies the name of the FilterManager.

Example: Create an instance of FilterManager with name 'stats_filter_manager' for managing filters related to statistics features

>>> 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()

True

>>> fm = fs.get_filter_manager(name='stats_filter_manager')
>>> fm

Filter Manager 'stats_filter_manager' does not exist. Run FilterManager.load_filter() to create it.

FilterManager(repo=vfs_v1, name=stats_filter_manager, filters=None)

Load filter definitions into the filter manager using a DataFrame.

>>> fm.load_filter(df=df.groupby('stats').count()[['stats']])

True

>>> fm

FilterManager(repo=vfs_v1, name=stats_filter_manager, filters=3)