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))
>>>