What is blend models function in regression model in pycaret

This recipe explains what is blend models function in the regression model. The blend model function trains a Majority Rule classifier for select models.

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

PyCaret provides the blend_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.

List of Classification Algorithms in Machine Learning

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blend_models function with Example:-

PyCaret provides "pycaret.regression.blend_models()" function. Blend model function trains a Soft Voting / Majority Rule classifier for select models passed in the "estimator_list" param.

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 *
# initialize setup
setup_name = setup(data = bost, target = 'medv')
top3 = compare_models(n_select = 3)
blender = blend_models(top3)
blender

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