Further reading
This section offers a list of helpful web resources to help you augment your knowledge of the AzureML SDK and the various code snippets used in this chapter:
- Model persistence guidance from scikit-learn: https://scikit-learn.org/stable/modules/model_persistence.html
- Testing a REST API using Postman: https://www.postman.com/product/api-client/
- The curl command-line tool to make web requests:
- Monitor Python applications using OpenCensus: https://docs.microsoft.com/azure/azure-monitor/app/opencensus-python
- How to use the inference server to test your entry scripts locally: https://docs.microsoft.com/azure/machine-learning/how-to-inference-server-http
- Packaging the model inside an autonomous Docker container: https://docs.microsoft.com/azure/machine-learning/how-to-deploy-package-models
- The ONNX machine learning format used to store models that can be loaded in multiple platforms: https://docs.microsoft.com/azure/machine-learning/concept...
