ModelOp Center provides plugins into common data science development tools such as Jupyter, to allow data scientists to interact with ModelOp Center from their preferred development environment.

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 notebookThe Jupyer Plugin enables the integration between a Jupyter Notebook and ModelOp Center to allow Data Scientists to register and interact with models directly from the Notebook. This allows the Data Scientists to work from their IDE of choice.

Installation and configuration instructions

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.

Registering a new model

Opening an existing model

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Updating an existing model

Submit model version