Model.deploySQL(X: list = [])
Returns the SQL code needed to deploy the model.
str : the SQL code needed to deploy the model.
from verticapy.learn.preprocessing import Normalizer model = Normalizer(name = "public.norm_iris") model.fit("public.iris", ["PetalLengthCm", "SepalLengthCm", "SepalWidthCm"]) display(model.deploySQL())
APPLY_NORMALIZE("PetalLengthCm", "SepalLengthCm", "SepalWidthCm" USING PARAMETERS model_name = 'public.norm_iris', match_by_pos = 'true')