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Machine_Learning/scarches-api/README.md

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### `/query`
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The query endpoint allows `POST` requests and takes a **valid** json which contains
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all the information for us to compute the model and store its results. We, as the ML and
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Visualisations team don't want to worry about the storage infrastructure of the backend, thus we
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expect s3 keys that we can access to store the output. The used parameter keys that can be set in the
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all the information for us to compute the model and store its results. On the ML and
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Visualisation side we expect only s3 keys (from the backend) that we can access to store the output.
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The used parameter keys that can be set in the
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configuration are specified in [parameter.py](./utils/parameters.py) with a short explanation what
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the parameter does and what the key should look like.
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