What is load config function in regression model in pycaret

This recipe explains the load config function in regression. Load config model loads global variables from a pickle file into Python regression model.

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Recipe Objective - What is the load_config 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 load_config function in the regression module.

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load_config function with Example:-

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

The load_config function loads global variables from a pickle file into the Python environment.

from pycaret.regression import load_config
# "my_pycaret_model is already been saved"
load_config('my_pycaret_model2.pkl')

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