What is load config function in clustering model in pycaret
This recipe explains the load config function in clustering. Load config model loads global variables from a pickle file into Python environment.
Recipe Objective - What is the load_config function in the clustering 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 load_config functions in the clustering module.
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load_config function with Example:-
PyCaret provides "pycaret.clustering.load_config()" function.
The load_config function loads global variables from a pickle file into the Python environment.
from pycaret.clustering import load_config
# "pycaret_clust is already been saved"
load_config('pycaret_clust.pkl')
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