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test_convert_model.py
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test_convert_model.py
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import pycaret.classification
import pycaret.datasets
import pycaret.regression
def test_classification_convert_model():
# loading dataset
data = pycaret.datasets.get_data("blood")
# initialize setup
pycaret.classification.setup(
data,
target="Class",
html=False,
n_jobs=1,
)
# train model
lr = pycaret.classification.create_model("lr")
# convert model
lr_java = pycaret.classification.convert_model(lr, "java")
assert isinstance(lr_java, str)
def test_regression_convert_model():
# loading dataset
data = pycaret.datasets.get_data("boston")
# initialize setup
pycaret.regression.setup(
data,
target="medv",
html=False,
n_jobs=1,
)
# train model
lr = pycaret.regression.create_model("lr")
# convert model
lr_java = pycaret.regression.convert_model(lr, "java")
assert isinstance(lr_java, str)
if __name__ == "__main__":
test_classification_convert_model()
test_regression_convert_model()