Hi,
I saw the example of deploying a dlpy model into ONNX format. But I am wondering how to save a regular ML model (not from dlpy) using ONNX.
Here is my model:
conn.loadActionSet('decisionTree') model = conn.decisionTree.forestTrain( table = dict(name = 'titanic_train'), target = target, inputs = inputs, nominals = nominals, casOut = dict(name = 'titanic_forest_model', replace = True) )
Thank you so much!
Hello, we currently only support generating ONNX format from the SAS deep learning models. We haven't support saving a SAS ML model such as tree, boosting, regressions, etc to ONNX format.
Hello, we currently only support generating ONNX format from the SAS deep learning models. We haven't support saving a SAS ML model such as tree, boosting, regressions, etc to ONNX format.
The new Open Source packages for Python, sas-scoring-translator-python (pysct), and for R, sas-scoring-translator-r (rsct), which translate (wrap) SAS scoring code to those languages.
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