models and get metrics function in regression model in pycaret

This recipe explains the models get metrics function in regression 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

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Recipe Objective - What are models and get_metrics function in the regression model in pycaret?

PyCaret provides models and get_metrics function in the regression module.

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models function with Example:-

PyCaret provides "pycaret.regression.models()" function. The Models function returns table of models available in the model library.

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from pycaret.datasets import get_data
bost = get_data('boston')
# importing regression module
from pycaret.regression import *
# initialize setup
set_up = setup(data = bost, target = 'medv')
models = models()
models

get_metrics function with Example:-

PyCaret provides "pycaret.regression.get_metrics()" function. The get_metrics function Returns table of available metrics used for CV.

from pycaret.datasets import get_data
bost = get_data('boston')
# importing regression module
from pycaret.regression import *
# initialize setup
set_up = setup(data = bost, target = 'medv')
get_models = get_metrics()
get_models

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