What is assign model function in anomaly detection in pycaret
This recipe explains what is assign model function in anomaly detection in pycaret. Assign model function assigns anomaly labels to the dataset for a given model.
Recipe Objective - What is the assign_model function in anomaly detection in pycaret?
PyCaret provides the assign_model 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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assign_models function with Example:-
PyCaret provides "pycaret.anomaly.assign_models()" function. Assign model function assigns anomaly labels to the dataset for a given model. (1 = outlier, 0 = inlier).
from pycaret.datasets import get_data
anmly = get_data('anomaly')
# importing anomaly module
from pycaret.anomaly import *
# initialize the setup
setup_name = setup(data = anmly)
# Knn model
knn = create_model('knn')
knn_df = assign_model(knn)
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