models and get metrics function in clustering model in pycaret
This recipe explains the models and get metrics function in clustering model in pycaret. The Models function returns table of models available in the model library and the get metrics function Returns table of available metrics used for CV.
Recipe Objective - What are models, get_metrics function in clustering model in pycaret?
PyCaret provides the models and get_metrics function in the clustering module.
Table of Contents
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models function with Example:-
PyCaret provides "pycaret.clustering.models()" function. The Models function returns table of models available in the model library.
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)
models = models()
models
get_metrics function with Example:-
PyCaret provides "pycaret.clustering.get_metrics()" function. The get_metrics function Returns table of available metrics used for CV.
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)
get_met = get_metrics()
get_met
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