what is finalize model function in regression model in pycaret
In this recipe, we will learn what are the Finalize_model and function in the regression model in pycaret and how to perform them in python. This function trains a given estimator on the entire data set including.
Recipe Objective - What is the finalize_model 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 the finalize_model function in the regression module.
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finalize_model function with Example:-
PyCaret provides "pycaret.regression.finalize_model()" function. Finalize model function trains a given estimator on the entire dataset including.
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')
# logistic regression
log_reg = create_model('lr')
final_log_reg = finalize_model(log_reg)
final_log_reg
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