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[ML] Update trained model inference endpoint #556

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merged 4 commits into from
Jul 11, 2023
Merged

[ML] Update trained model inference endpoint #556

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361a43b
initial commit
valeriy42 Jul 7, 2023
36b2d7c
fix formatting
valeriy42 Jul 7, 2023
e6b5025
change back the link in README
valeriy42 Jul 10, 2023
bd9d36c
Merge branch 'main' into inference-endpoint-update
valeriy42 Jul 10, 2023
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -245,7 +245,7 @@ The `--start` argument will deploy the model with one allocation and one
thread per allocation, which will not offer good performance. When starting
the model deployment using the ML UI in Kibana or the Elasticsearch
[API](https://www.elastic.co/guide/en/elasticsearch/reference/current/start-trained-model-deployment.html)
you will be able to set the threading options to make best use of your
you will be able to set the threading options to make the best use of your
hardware.

```python
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2 changes: 1 addition & 1 deletion eland/ml/pytorch/_pytorch_model.py
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Expand Up @@ -134,7 +134,7 @@ def infer(
__body: Dict[str, Any] = {}
__body["docs"] = docs

__path = f"/_ml/trained_models/{_quote(self.model_id)}/deployment/_infer"
__path = f"/_ml/trained_models/{_quote(self.model_id)}/_infer"
__query: Dict[str, Any] = {}
__query["timeout"] = timeout
__headers = {"accept": "application/json", "content-type": "application/json"}
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