What is create model function in regression model in pycaret
This recipe explains what is create model function in regression model in pycaret. The Create model function trains and evaluates the performance of a given estimator.
Recipe Objective - What is the create_model function in the regression model in pycaret?
PyCaret provides the create_model function in the regression module.
This module is provided by the PyCaret python library. PyCaret is an open-source, less-code machine learning python library. PyCaret automates machine learning workflow. PyCaret library is wrapped around some machine learning libraries such as sklearn, XGBoost, LightGBM, CatBoost, spaCy, Optuna, Hyperopt, Ray, and many more.
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Links for the more related projects:-
https://www.projectpro.io/projects/data-science-projects/deep-learning-projects
https://www.projectpro.io/projects/data-science-projects/neural-network-projects
create_models function with Example:-
PyCaret provides "pycaret.regression.create_models()" function. 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
bost = get_data('boston')
# importing regression module
from pycaret.regression import *
# setup create model
setup_data = setup(data = bost, target = 'medv')
# logistic regression
log_reg = create_model('lr')
log_reg
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