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I am new in Dataiku and I would like to know how to save a regressor as an output in a python recipe.
I have seen an option to load a model Interaction with saved models — Dataiku DSS 11 documentation
How can I set as an output the model created for example in this function:
def train_model(X_train: pd.DataFrame, y_train: pd.Series) -> LinearRegression: model = LinearRegression() model.fit(X_train, y_train) return model
I want to use this model as an input for the test data.
Operating system used: Windows 10
If you have a model in python that you want to make into a visual model / Saved model, you can do so via mlflow models.
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