Custom SKLearn Model Operationalization

September 27, 2016

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Showcase operationalizing SKLearn model and its components with Azure Machine Learning. Accompanying blog article can be found here: http://dacrook.com/operationalizing-sklearn-with-azure-machine-learning/
This experiment showcases how to take models which include pre and post processing steps and operationalize them. This particular experiment pre-processes with min/max normalization, executes an already trained linear regression and the inverses the normalization to provide the desired prediction results. This experiment is NOT a showcase on perfecting models, but rather operationalizing custom sklearn models developed outside the Azure Machine Learning ecosystem. The accompanying blog article can be [found here][1]. [1]: http://dacrook.com/operationalizing-sklearn-with-azure-machine-learning/