Comments (11)
Can you share which environment are you using? It's possible that the environment doesn't contain xgbosst. Consider adding that package as part of conda.yaml
@yogidosalwar
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@setuc Here is my conda.yaml .
Thank you for quick response.
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@setuc here is screen shot of DevOps
Thank you.
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Ahh. Got it. The responsbileAi modules user the environment that's different than the base container. It refers to the container from the Rai-vnext-Preview code. You can check the Rai component yaml file to see how the environment file is being built.
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Ok. I will check.
Thank you.
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Do you have your pipeline? Or did you just replace the model with XGBoost?
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@setuc just i replace the model with XGBoost and added model dependencies in requirment.txt , train-conda.yml and train-monitor-conda.yml.
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@setuc I went through the Rai-component.yml file and I made changes in requirment.txt which is part of Rai-vnext-Preview.
But still, getting error in the Run Azure ML pipeline. If you have any input, please let me know.
Thank you.
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Can you see what's going on in the AML pipeline? Via the studio
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@cindyweng @setuc I have RAI-vNext-Preview repo and MLOps-Test folder on my github. I made some changes as per my requirement in deploy-model-training-pipeline. yml, prep. py etc. and as well as I did changes in create_rai_insights.py. While running deploy-model-training-pipeline getting error while creating RAI Insights Dashboard Constructor. I went through the azure machine learning studio jobs and observe the code, but my changes are not showing there.
i did changes here
parser.add_argument("--maximum_rows_for_test_dataset", type=int, default=5000)
to
parser.add_argument("--maximum_rows_for_test_dataset", type=int, default=10000)
below changes i did in deploy-model-training-pipeline.yml
- repository: RAI-vNext-Preview # Template Repo #rai-vnext-preview
name: yogidosalwar/RAI-vNext-Preview # need to change org name from "Azure" to your own org #rai-vnext-preview
endpoint: github-connection # need to set up and hardcode
type: github
ref: main
Thank you
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@setuc @cindyweng Hi any update on above issue or suggestion???
Thank you
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Related Issues (20)
- No deploy-model-training-pipeline.yml or other examples for Python SDK v2 HOT 2
- Unexpected parameter "build_type" when running deploy-model-training-pipeline in CV pattern HOT 9
- Update documentation for Github Action deployment HOT 1
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- When "config-infra-prod.yml" file is changed, 3 pipelines are automatically triggered and failed. HOT 2
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- Missing /mlops/azureml/train/data.yml (ADO/classical) HOT 1
- Using sweep in the train pipeline errors out HOT 1
- Azure DevOps - Error Deploying Online Endpoint - ResourceNotReady: User container has crashed or terminated: Liveness probe failed: HTTP probe failed with statuscode: 502 HOT 1
- RAI Insights Dashboard Constructor step fails
- Any support or suggestion of initializing a ML repo with your codes locally and create related pipelines? HOT 5
- Model Training ADO pipeline FAILS after over an hour HOT 8
- For free/VS MCT subscriptions vcore quota limit of 6 in eastus causes endpoint deployment failure HOT 2
- Jenkins Pipeline HOT 1
- Accelerator Azure Devops instructions steps 3.5.2 & 3.5.3 misleading HOT 3
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