A data scientist needs to load a Python-trained scikit-learn model into SAS Model Manager for deployment alongside SAS models. Which SAS capability enables this?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — b is correct because SAS Model Manager supports registering open-source models including Python scikit-learn models by packaging the model as a pickle (.pkl) file along with a score.py Python scoring script and a requirements.txt file. Model Manager's Python publishing destination executes the score.py to generate predictions.
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Full Explanation
B is correct because SAS Model Manager supports registering open-source models including Python scikit-learn models by packaging the model as a pickle (.pkl) file along with a score.py Python scoring script and a requirements.txt file. Model Manager's Python publishing destination executes the score.py to generate predictions. A (PROC IMPORT) is for data import, not model import. C is wrong because PROC HPNEURAL has no IMPORT= option for external models. D is wrong because DLPy's convert_model() is for deep learning architecture conversion, not scikit-learn models.