# ML-Server-Python-Samples

**Repository Path**: liangxinhui/ML-Server-Python-Samples

## Basic Information

- **Project Name**: ML-Server-Python-Samples
- **Description**: cache of https://github.com/microsoft/ML-Server-Python-Samples.git
- **Primary Language**: Unknown
- **License**: CC-BY-4.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-07-25
- **Last Updated**: 2024-05-29

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Microsoft Machine Learning Python Samples with ML Server

> Discover more examples at [Microsoft Machine Learning Server](https://github.com/Microsoft/ML-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](https://github.com/Microsoft/SQL-Server-R-Services-Samples).

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](microsoftml/101/plot_regression_wines_revoscalepy.py)||
|Basic|Use a **regression** to predict wine quality with *microsoftml*|[Code](microsoftml/101/plot_regression_wines.py)||
|Basic|Doing **feature selection** using mutual information|[Code](microsoftml/101/plot_mutualinformation.py)||
|Basic|Implementing **binary classification**|[Code](microsoftml/101/plot_binary_classification.py)||
|Basic|**Binary classification**|[Notebook](microsoftml/quickstarts/binary-classification/Binary+Classification+Quickstart.ipynb)|[Documentation](https://docs.microsoft.com/en-us/machine-learning-server/python/quickstart-binary-classification-with-microsoftml)|
|Basic|Implementing **multi-class classification**|[Code](microsoftml/101/plot_iris.py)||
|Basic|Working with **categorical features**|[Code](microsoftml/101/plot_categorical_features.py)||
|Basic|Using formulas|[Code](microsoftml/101/plot_formula.py)||
|Basic|Using a **loss function**|[Code](microsoftml/101/plot_loss_function.py)||
|Basic|Working with input schemas|[Code](microsoftml/101/plot_mistakes.py)||
|Basic|Classifying images using image featurization|[Code](microsoftml/101/plot_image_featurizer_classify.py)||
|Basic|Finding similar images using image featurization|[Code](microsoftml/101/plot_image_featurizer_match.py)||
|Advanced|Tuning model **hyperparameters** using a grid search|[Code](microsoftml/202/plot_grid_search.py)||
|Advanced|Implementing **sentiment analysis**|[Code](microsoftml/202/plot_sentiment_analysis.py)||
|Advanced|Implementing **text featurization**|[Code](microsoftml/202/plot_text_featurization.py)||
|Operationalization|Deploy Python model as a web service|[Notebook](operationalize/Quickstart_Publish_Python_Web_Service.ipynb)|[Documentation](https://docs.microsoft.com/en-us/machine-learning-server/operationalize/python/quickstart-deploy-python-web-service)|
|Operationalization|Integrate a real-time web service into an application|[Notebook](operationalize/Publish_Realtime_Web_Service_in_Python.ipynb)|[Documentation](https://docs.microsoft.com/en-us/machine-learning-server/operationalize/python/quickstart-application-integration-with-swagger)|
|Operationalization|Consuming web services synchronously|[Notebook](operationalize/Explore_Consume_Python_Web_Services.ipynb)|[Documentation](https://docs.microsoft.com/en-us/machine-learning-server/operationalize/python/how-to-consume-web-services)|
|Operationalization|Consuming web services asynchronously|[Notebook](operationalize/Explore_Batch_Consume_Python_Web_Services.ipynb)|[Documentation](https://docs.microsoft.com/en-us/machine-learning-server/operationalize/python/how-to-consume-web-services-async)|


## Contributing
This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/). For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.

## Legal Notices

Microsoft and any contributors grant you a license to the Microsoft documentation and other content
in this repository under the [Creative Commons Attribution 4.0 International Public License](https://creativecommons.org/licenses/by/4.0/legalcode),
see the [LICENSE](LICENSE) file, and grant you a license to any code in the repository under the [MIT License](https://opensource.org/licenses/MIT), see the
[LICENSE-CODE](LICENSE-CODE) file.

Microsoft, Windows, Microsoft Azure and/or other Microsoft products and services referenced in the documentation
may be either trademarks or registered trademarks of Microsoft in the United States and/or other countries.
The licenses for this project do not grant you rights to use any Microsoft names, logos, or trademarks.
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