What is load config function in anomaly detection in pycaret

This recipe explains the load config function in anomaly detection in pycaret. The load config function loads global variables from a pickle file into Python environment.

Recipe Objective - What is the load_config function in anomaly detection in pycaret?

PyCaret provides the load_config function in the anomaly detection 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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https://www.projectpro.io/projects/data-science-projects/tensorflow-projects
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load_config function with Example:-

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

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

from pycaret.anomaly import load_config
# "model_knn is already been saved"
load_config('model_knn.pkl')

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