Custom SKLearn Model Operationalization
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/
