Microsoft Machine Learning Python Samples with ML Server

Discover more examples at Microsoft Machine Learning Server

In these examples, we will demonstrate how to develop and deploy end-to-end advanced analytics Python solutions with ]ML Server](https://docs.microsoft.com/en-us/machine-learning-server/what-is-machine-learning-server). The samples provided here are created in Python. Samples in R are available in the ML Server R Templates repository.

Although these samples have not been written for SQL Server ML Services, they can be deployed in the same manner as the R Templates that are provided in the repository linked above.

Available Samples

Category	Sample	Code	Documentation
Basic	Use a regression to predict wine quality with RevoscalePy	Code
Basic	Use a regression to predict wine quality with microsoftml	Code
Basic	Doing feature selection using mutual information	Code
Basic	Implementing binary classification	Code
Basic	Binary classification	Notebook	Documentation
Basic	Implementing multi-class classification	Code
Basic	Working with categorical features	Code
Basic	Using formulas	Code
Basic	Using a loss function	Code
Basic	Working with input schemas	Code
Basic	Classifying images using image featurization	Code
Basic	Finding similar images using image featurization	Code
Advanced	Tuning model hyperparameters using a grid search	Code
Advanced	Implementing sentiment analysis	Code
Advanced	Implementing text featurization	Code
Operationalization	Deploy Python model as a web service	Notebook	Documentation
Operationalization	Integrate a real-time web service into an application	Notebook	Documentation
Operationalization	Consuming web services synchronously	Notebook	Documentation
Operationalization	Consuming web services asynchronously	Notebook	Documentation

Contributing

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

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