What is evaluate model function in NLP in pycaret
This recipe explains evaluate model function in NLP in pycaret. The evaluate model function displays a user interface for analyzing performance of a trained model.
Recipe Objective - What is the evaluate_model function in NLP in pycaret?
PyCaret provides the evaluate_model function in the NLP 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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evaluate_model function with Example:-
PyCaret provides "pycaret.nlp.evaluate_model()" function. The evaluate_model function displays a user interface for analyzing the performance of a trained model.
from pycaret.datasets import get_data
kiva = get_data('kiva')
# importing NLP module
from pycaret.nlp import *
# initialize the setup
setup_name = setup(data = kiva, target = 'en')
# Latent Dirichlet Allocation model
lda = create_model('lda')
# evaluate_model function
evaluate_model(lda)
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