Comments (6)
I updated the URLs in the description spec above to be more RESTful.
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Suggestion: There's an underlying default model spec (use Grok), so passing an empty JSON map gives you that. The JSON you give just overrides this map (using a merge).
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@fergalbyrne Yes, great idea. I will put that in another ticket.
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Does the api need to include the predicted field? Currently it's in the URL as /create/{predicted_field}
. Doesn't seem very RESTy though.
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No, the predicted field is within the model params. (I was wrong, see example model params in next comment)
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Example POST payload here: https://gist.github.com/rhyolight/20c937c15e5ae3333f89
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Related Issues (20)
- Deploy a test NuPIC app to Heroku
- As an HTTP client, I can delete an HTM model in a RESTful way
- As an HTTP client, I can push data to an HTM model in a RESTful way HOT 5
- As a user, I can run HTM over HTTP HOT 2
- If no model params are provided on model create, use default anomaly detection params HOT 2
- When pushing data to a model, returns error if data is earlier than last seen time
- Continuous Integration HOT 2
- Test Suite HOT 1
- Creating a custom model does not respect input model param field names
- As an HTTP client, I can specify my own model id
- As an HTTP client, I do not need to provide a predictedField
- REST API cannot assume the temporal field name is "timestamp" HOT 2
- Model Persistence HOT 2
- Handle batch data via PUT /models/<guid> HOT 6
- Create a Python API client HOT 3
- Update batching to return a list of objects, not just last one
- Move hitcpy integration test into the hitcpy repo
- Error fetching all models when no models exist
- Decrease model memory footprint
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