What are set config, save config, and load config in PyCaret?

Recipe Objective - What are set_config, save_config, and load_config in the classification model in PyCaret?

PyCaret provides set_config, save_config, and load_config functions in the classification module.

For more related projects:

https://www.projectpro.io/article/7-types-of-classification-algorithms-in-machine-learning/435

https://www.projectpro.io/projects/data-science-projects/keras-deep-learning-projects

set_config function with Example:

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

List of Classification Algorithms in Machine Learning

Some Accessible variables:

X: Transformed dataset (X)

y: Transformed dataset (y)

X_train: Transformed train dataset (X)

X_test: Transformed test/holdout dataset (X)

y_train: Transformed train dataset (y)

y_test: Transformed test/holdout dataset (y)

from pycaret.datasets import get_data
iris = get_data('iris')
# importing classification module
from pycaret.classification import *
# initialize setup
setup_name = setup(data = iris, target = 'species')
set_config('seed', 123)


save_config function with Example:

PyCaret provides "pycaret.classification.save_config()" function.

save_config function saves all global variables to a pickle file, allowing to resume without rerunning the setup later.

from pycaret.datasets import get_data
iris = get_data('iris')
# importing classification module
from pycaret.classification import *
# initialize setup
setup_name = setup(data = iris, target = 'species')
# saving our model
save_config('my_pycaret_model.pkl')


load_config function with Example:

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

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

from pycaret.classification import load_config
# "my_pycaret_model is already been saved"
load_config('my_pycaret_model.pkl')