setup and create model function in clustering in pycaret

Recipe Objective - What are the setup and create_model functions in the clustering model in pycaret?

PyCaret provides the setup and create_model operation in the clustering module.

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https://www.projectpro.io/projects/data-science-projects/deep-learning-projects
https://www.projectpro.io/projects/data-science-projects/neural-network-projects

Setup function with Example:-

PyCaret provides "pycaret.clustering.setup()" function. The Setup function initializes the training environment and creates the transformation pipeline.

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)


create_models function with Example:-

PyCaret provides "pycaret.clustering.create_models()" function. The Create model function trains and evaluates the performance of a given estimator.

The output of this function is a scoring grid with CV scores by fold.

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')
k_m