Using ModelOp Center Jupyter plugin
Overview
The ModelOp Center (MOC) is flexible on how models are registered so that data scientists can leverage their preferred environments for model creation. In other words it is agnostic to the toolkit used to create the model.
Jupyter (http://jupyter.org/) is a popular tool among data scientists and other users of Python and R for building models. It is an evolution of the IPython project, and provides a Notebook interface similar to that of Mathematica or SAGE. For the purposes of the interaction between ModelOp Center and Jupyter we have the Jupyter plugin available which makes it easier to make some of the most useful operations directly in the user’s IDE of choice, in this case, Jupyter notebook.
Installation and configuration instructions
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| Jupyter plugin installation and configuration instructions |
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| Jupyter plugin installation and configuration instructions |
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ModelOp specific functions available within Jupyter
Once installed, when the user opens or creates a new Jupyter notebook file, the Jupyter notebook interface is provided with a set of toolbar buttons that interact with ModelOp Center and will be expanded in the sections below.
Image ModifiedRegistering a new model
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| Registering a model using Jupyter |
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| Registering a model using Jupyter |
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Opening an existing model
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| Opening an existing model in Jupyter |
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| Opening an existing model in Jupyter |
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Updating an existing model
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| Updating an existing model using Jupyter |
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| Updating an existing model using Jupyter |
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Submit model version
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| Submit model version using Jupyter |
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| Submit model version using Jupyter |
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