reset_labels() | FeatureGroup Method | Teradata Package for Python - reset_labels() - Teradata Package for Python

Use the reset_labels() method to reset all labels for the feature group.

There are no parameters for this function.

Example setup

>>> from teradataml import DataSource, Entity, Feature, FeatureGroup, load_example_data
>>> load_example_data("dataframe", "admissions_train")

Example: Reset all labels in the feature group

Create a DataFrame.

>>> df = DataFrame("admissions_train")

Create the features.

>>> masters_feature = Feature("masters", df.masters)
>>> gpa_feature = Feature("gpa", df.gpa)
>>> stats_feature = Feature("stats", df.stats)
>>> admitted_feature = Feature("admitted", df.admitted)

Create an entity.

>>> entity = Entity("id", df.id)

Create a data source.

>>> data_source = DataSource("admissions_source", df)

Create a feature group.

>>> fg = FeatureGroup('Admissions',
...                   features=[masters_feature, gpa_feature, stats_feature, admitted_feature],
...                   entity=entity,
...                   data_source=data_source)

Set the 'admitted' feature as label.

>>> fg.set_labels('admitted')

True

Remove the labels from the feature group.

>>> fg.reset_labels()

True

Get the labels from the feature group.

>>> fg.labels

[]