This repository contains my solution to the project "Machine learning algorithms with global state" from the BDAPRO class at TU Berlin. (The repo is based on BDAPRO.WS1617)
This task aims to help me better understand what is required from the API and from the project as a whole. No implementation details are discussed here, just the concept. By doing this, I will be able to precisely answer the question "what does the API do? - it does this and this and that and that"
https://docs.google.com/document/d/1LWzPp4sGgbkW67AjBVtPECyAxgTmFbFAQR0_skE6ULk/edit?usp=sharing
This task aims to help me better understand what is required from the API and from the project as a whole. No implementation details are discussed here, just the concept. By doing this, I will be able to precisely answer the question "what does the API do? - it does this and this and that and that"
1) Think of:
2) Then write specific examples of use cases:
3) Which ML algorithms should the API support: