I wonder if it is possible to design ML experiments without using the drag&drop functionality (which is very nice btw)? I want to use Python code in the notebook (within Azure ML studio) to access the algorithms (e.g., matchbox recommender, regression models, etc) in the studio and design experiments? Is this possible?
I appreciate any information and suggestion!
The algorithms as model in the experiments of Azure ML studio seems not to be used directly as code for Python programming now.
However, you can try to publish these algorithms model as web services which can be consumed in Python code of the Azure ML studio notebook.