set_features_inactive
Use set_feature_inactive() to mark the Feature status as inactive. If a Feature is inactive, then it won't be part of any further processing. Setting a Feature to Active includes it in processing again.
Example:
>>> from teradataml import DataFrame, DataSource, FeatureStore, load_example_data # Create DataFrame on admissions data. >>> df = DataFrame("admissions_train") >>> df masters gpa stats programming admitted id 34 yes 3.85 Advanced Beginner 0 32 yes 3.46 Advanced Beginner 0 11 no 3.13 Advanced Advanced 1 40 yes 3.95 Novice Beginner 0 38 yes 2.65 Advanced Beginner 1 36 no 3.00 Advanced Novice 0 7 yes 2.33 Novice Novice 1 26 yes 3.57 Advanced Advanced 1 19 yes 1.98 Advanced Advanced 0 13 no 4.00 Advanced Novice 1 >>> # Create FeatureGroup from DataFrame df. >>> fg = FeatureGroup.from_DataFrame(name='admissions', df=df, entity_columns='id') # Apply the FeatureGroup to FeatureStore 'vfs_v1'. >>> fs = FeatureStore('vfs_v1') >>> fs.apply(fg) True # Get FeatureGroup 'admissions' from FeatureStore. >>> fg = fs.get_feature_group('admissions') >>> fg FeatureGroup(admissions, features=[Feature(name=masters), Feature(name=programming), Feature(name=admitted), Feature(name=stats), Feature(name=gpa)], entity=Entity(name=admissions), data_source=DataSource(name=admissions)) # Set the Feature 'programming' inactive. >>> fs.set_features_inactive('programming') True # Get FeatureGroup again after setting feature inactive. >>> fg = fs.get_feature_group('admissions') >>> fg FeatureGroup(admissions, features=[Feature(name=masters), Feature(name=stats), Feature(name=admitted), Feature(name=gpa)], entity=Entity(name=admissions), data_source=DataSource(name=admissions)) >>>
set_features_active
Use set_features_active() to mark the status of a Feature as active.
# Mark Feature 'programming' from 'inactive' to 'active'. >>> fs.set_features_active('programming') # Get FeatureGroup again after setting feature active. >>> fg = fs.get_feature_group('admissions') >>> fg FeatureGroup(admissions, features=[Feature(name=masters), Feature(name=programming), Feature(name=admitted), Feature(name=stats), Feature(name=gpa)], entity=Entity(name=admissions), data_source=DataSource(name=admissions)) >>>