tune model and assign model function in clustering in pycaret

Recipe Objective - What are the tune_model and assign_model functions in the clustering model in pycaret?

PyCaret provides the tune_model and assign_model function in the clustering module.

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Tune Model function with Example:-

PyCaret provides "pycaret.clustering.tune_model()" function. The Tune model function tunes the hyperparameters of a given estimator.

from pycaret.datasets import get_data
juice = get_data('juice')
# importing clustering module
from pycaret.clustering import *
# initialize setup
setup_name = setup(data = juice, target = 'medv')
# tune model on kmeans clustering
tuned_km = tune_model(model = 'kmeans', supervised_target = 'Purchase')


assign_model function with Example:-

PyCaret provides "pycaret.clustering.assign_models()" function. The Assign model function cluster labels to the dataset for a given model.

from pycaret.datasets import get_data
jewll = get_data('jewellery')
# importing clustering module
from pycaret.clustering import *
# initialize the setup
setup_name = setup(data = jewll)
# k_means clustering
k_m = create_model('kmeans')
km_df = assign_model(k_m) km_df