What is add metric function in regression model in pycaret

This recipe explains the add metric function in the regression model. This function adds a custom metric to be used for CV.

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

PyCaret provides the add_metric 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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add_metric function with Example:-

PyCaret provides "pycaret.regression.add_metric()" function. The add_metric function Adds a custom metric to be 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')
from sklearn.metrics import log_loss
add_metric('logloss', 'Log Loss', log_loss, greater_is_better = False)

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