What is automl function in regression model in pycaret

Recipe Objective - What is automl function in the regression model in pycaret?

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.

PyCaret provides automl function in the regression module.

A Gentle Introduction to Ensemble Learning in Machine Learning

For more related projects:-

https://www.projectpro.io/projects/data-science-projects/tensorflow-projects
https://www.projectpro.io/projects/data-science-projects/keras-deep-learning-projects

automl function with Example:-

PyCaret provides "pycaret.regression.automl()" function.

Automl function returns the best model out of all trained models based on the optimized parameter in the current session.

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')
top_3 = compare_models(n_select = 3)
tuned_top3 = [tune_model(i) for i in top_3]
blend = blend_models(tuned_top3)
stack = stack_models(tuned_top3)
best_auc_model = automl(optimize = 'AUC')
best_auc_model