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from verticapy.machine_learning.vertica.model_management import load_model
from verticapy.datasets import load_iris
from verticapy.learn.naive_bayes import NaiveBayes
Here is the reproducer:
from verticapy.machine_learning.vertica.model_management import load_model
from verticapy.datasets import load_iris
from verticapy.learn.naive_bayes import NaiveBayes
iris_vd = load_iris()
model = NaiveBayes("test_model")
model.fit(iris_vd, ["SepalLengthCm", "SepalWidthCm", "PetalLengthCm", "PetalWidthCm"], "Species")
new_model = load_model("test_model")
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