ClearML/clearml-serving
1
0
Fork 0
mirror of https://github.com/clearml/clearml-serving synced 2025-01-31 02:46:54 +00:00
Code Issues Actions Packages Projects Releases Wiki Activity

Update readme.md

Browse Source
This commit is contained in:
Allegro AI 2022-03-06 02:12:33 +02:00 committed by GitHub
parent a49fa0321e
commit f2f0c07c38
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 7 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

10
examples/lightgbm/readme.md
View File

@ -16,15 +16,19 @@ The output will be a model created on the project "serving examples", by the nam
2. Create model endpoint:
3. `clearml-serving --id <service_id> model add --engine lightgbm --endpoint "test_model_lgbm" --preprocess "examples/lightgbm/preprocess.py" --name "train lightgbm model" --project "serving examples"`
`clearml-serving --id <service_id> model add --engine lightgbm --endpoint "test_model_lgbm" --preprocess "examples/lightgbm/preprocess.py" --name "train lightgbm model" --project "serving examples"`
Or auto-update
`clearml-serving --id <service_id> model auto-update --engine lightgbm --endpoint "test_model_auto" --preprocess "examples/lightgbm/preprocess.py" --name "train lightgbm model" --project "serving examples" --max-versions 2`
Or add Canary endpoint
`clearml-serving --id <service_id> model canary --endpoint "test_model_auto" --weights 0.1 0.9 --input-endpoint-prefix test_model_auto`
4. Run the clearml-serving container `docker run -v ~/clearml.conf:/root/clearml.conf -p 8080:8080 -e CLEARML_SERVING_TASK_ID=<service_id> clearml-serving:latest`
3. Run the clearml-serving container `docker run -v ~/clearml.conf:/root/clearml.conf -p 8080:8080 -e CLEARML_SERVING_TASK_ID=<service_id> clearml-serving:latest`
5. Test new endpoint: `curl -X POST "http://127.0.0.1:8080/serve/test_model_lgbm" -H "accept: application/json" -H "Content-Type: application/json" -d '{"x0": 1, "x1": 2, "x2": 3, "x3": 4}'`
4. Test new endpoint: `curl -X POST "http://127.0.0.1:8080/serve/test_model_lgbm" -H "accept: application/json" -H "Content-Type: application/json" -d '{"x0": 1, "x1": 2, "x2": 3, "x3": 4}'`
> **_Notice:_** You can also change the serving service while it is already running!
This includes adding/removing endpoints, adding canary model routing etc.