Ask HN: What is your ML stack like?

Re:Ask HN: What is your ML stack like? by chaoyu on Tuesday November 12, 2019 @03:04PM (#21517560)

BentoML(https://github.com/bentoml/BentoML) may help you with the process of building endpoints with both Deep learning models and logistic regression/tree models, and it automatically helps you to containerize the API server into docker image that's ready for production deployment.

It also provides OpenAPI spec for your API endpoint, which allows you to generate API client in Java, for your backend/app teams.

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Re:Ask HN: What is your ML stack like? by wing328hk on Wednesday November 13, 2019 @02:11AM (#21521761)

FYI. One way to automatically generate API clients is to use OpenAPI Generator (https://github.com/OpenAPITools/openapi-generator), which is free, open-source and supports 30+ programming languages.

Disclosure: I'm the top contributor to the project.

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Re:Ask HN: What is your ML stack like? by ivalm on Wednesday November 13, 2019 @03:40AM (#21522118)

So we've been using swagger, is there some comparison between OpenAPITools and swagger code gen?

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Re:Ask HN: What is your ML stack like? by wing328hk on Thursday November 14, 2019 @07:48AM (#21534956)

Here is the Q&A: https://github.com/OpenAPITools/openapi-generator/blob/maste...

Another way to compare is as follows:

https://www.openhub.net/p/openapi-generator vs https://www.openhub.net/p/swagger-codegen

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