What is set config function in NLP in pycaret

This recipe explains the set config function in NLP in pycaret. The set config function resets the global variables.

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Recipe Objective - What is the set_config function in NLP in pycaret?

PyCaret provides the set_config 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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set_config function with Example:-

PyCaret provides "pycaret.anomaly.set_config()" function. The set_config function resets the global variables.

Accessible variables:-

text: Tokenized words as a list with length = # documents

data_: pandas.DataFrame containing text after all processing

corpus: List containing tuples of id to word mapping

id2word: gensim.corpora.dictionary.Dictionary

seed: random state set through session_id

target_: Name of column containing text. ‘en’ by default.

html_param: html_param configured through setup

exp_name_log: Name of experiment set through setup

logging_param: log_experiment param set through setup

log_plots_param: log_plots param set through setup

USI: Unique session ID parameter set through setup

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')
set_config('seed', 123)

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