What is setup and create model function in NLP in pycaret

This recipe explains what is setup and create model function in NLP in pycaret

Recipe Objective - The setup, create_model function in NLP in pycaret?

PyCaret provides setup, create_model function in the NLP module.

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Setup function with Example:-

PyCaret provides "pycaret.nlp.setup()" funtion. Setup function initializes the training environment and creates the transformation pipeline.

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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')

create_model function with Example:-

PyCaret prvides "pycaret.nlp.create_models()" funtion. Create model function trains and evaluates the performance of a given library.

Available Models:-

‘lda’ - Latent Dirichlet Allocation

‘lsi’ - Latent Semantic Indexing

‘hdp’ - Hierarchical Dirichlet Process

‘rp’ - Random Projections

‘nmf’ - Non-Negative Matrix Factorization

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')
lda

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