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Alteryx Designer comes with tools (based on both R and Python) to create and use predictive models without needing to write any code. But what if you've got custom models written in R or Python outside of Designer that you want to use in Designer, or vice versa?
For Python, use pickle or joblib to move the model in and out of Python. Here's an example that fits a decision tree model to the iris dataset and dumps the model to disk as a joblib file:
from ayx import Package Package.installPackages(['joblib']) from ayx import Alteryx from sklearn import tree from joblib import dump train = Alteryx.read("#1") clf = tree.DecisionTreeClassifier() y_train = train.pop('Species').values clf = clf.fit(train, y_train) dump(clf, 'C:/Users/nryan/Desktop/treeModel.joblib')