Comments (1)
When you upload a model without giving it a name, a default one is chosen for you. In this case, the given name is 'vacuous-strawberry'
. You've specified the 'creme_model'
name in your request to /api/predict
, but that's not correct. Indeed, 'creme_model'
is the name of the model in your script, not on the chantilly server.
You can set your own model name as so:
requests.post(f'{url}/api/model/<insert_name>', data=dill.dumps(creme_model))
Note that the default model is the latest one you have uploaded. Therefore, if you only have one model, you don't have to worry about the name.
Hope this helps.
from chantilly.
Related Issues (20)
- Consider cloudpickle
- Consider Blinker
- Consider making /api/predict a GET operation instead of POST HOT 3
- 500 error posting ClassifierChain model HOT 3
- Display model memory usage
- Integrate with AWS
- invalid javascript syntax in example
- trouble using loaded model
- Question on fit_one function HOT 2
- Unable to run in Windows HOT 5
- 'Unsupported operand type' error prediction in README example HOT 1
- Update metrics - possibly missing a case? HOT 20
- Can this be used for un-labeled models as well? And how many?
- add a /predict_proba method HOT 3
- Websocket implementation
- Allow flavors HOT 5
- Write performance benchmark HOT 7
- move default error log location HOT 2
- Error when POST a new model. HOT 4
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