list_feature_versions() | FeatureCatalog Method | Teradata Package for Python - list_feature_versions() - Teradata Package for Python

Use the list_feature_versions() method to list the available feature versions in the repository for the corresponding data domain.

There are no parameters for this function.

Example setup

Ingest sales data to feature catalog configured for repo 'vfs_v1'.

>>> from teradataml import load_example_data, FeatureProcess
>>> load_example_data('dataframe', 'sales')
>>> df = DataFrame("sales")

>>> df

              Feb    Jan    Mar    Apr    datetime
accounts
Red Inc     200.0  150.0  140.0    NaN  04/01/2017
Blue Inc     90.0   50.0   95.0  101.0  04/01/2017
Alpha Co    210.0  200.0  215.0  250.0  04/01/2017
Orange Inc  210.0    NaN    NaN  250.0  04/01/2017
Yellow Inc   90.0    NaN    NaN    NaN  04/01/2017
Jones LLC   200.0  150.0  140.0  180.0  04/01/2017

Look at tdtypes before ingesting features.

>>> df.tdtypes

accounts    VARCHAR(length=20, charset='LATIN')
Feb                                     FLOAT()
Jan                                    BIGINT()
Mar                                    BIGINT()
Apr                                    BIGINT()
datetime                                 DATE()

Create FeatureStore repo 'vfs_v1'.

>>> from teradataml import 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.

Set up the feature store for this repository.

>>> fs.setup()

True

Initiate FeatureProcess to ingest features.

>>> fp = FeatureProcess(repo='vfs_v1', data_domain='sales', object=df, entity='accounts', features=['Jan', 'Feb', 'Mar', 'Apr'])

Run the feature process.

>>> fp.run()

Process 'a9f29a4e-3f75-11f0-b43b-f020ff57c62c' started.
Process 'a9f29a4e-3f75-11f0-b43b-f020ff57c62c' completed.

Example: List features and its versions from the feature catalog

>>> from teradataml import FeatureCatalog
>>> fc = FeatureCatalog(repo='vfs_v1', data_domain='sales')

>>> fc.list_feature_versions()

  entity_id data_domain      id name                                 table_name                       feature_version
0  accounts       sales  100001  Feb  FS_T_19fadd83_620c_3603_4ced_95991bf3b44c  a9f29a4e-3f75-11f0-b43b-f020ff57c62c
1  accounts       sales  300001  Apr  FS_T_fa01ca99_6169_008c_6b72_cff03d7ee9e1  a9f29a4e-3f75-11f0-b43b-f020ff57c62c
2  accounts       sales       1  Jan  FS_T_fa01ca99_6169_008c_6b72_cff03d7ee9e1  a9f29a4e-3f75-11f0-b43b-f020ff57c62c
3  accounts       sales  200001  Mar  FS_T_fa01ca99_6169_008c_6b72_cff03d7ee9e1  a9f29a4e-3f75-11f0-b43b-f020ff57c62c