260 questions
3
votes
0
answers
123
views
Static verification of type compatibility across Python + YAML + JSON Schema pipeline stage boundaries [closed]
Is there an existing tool or pattern that statically verifies type compatibility across pipeline stage boundaries — where stages are defined in Python, configured in YAML, and validated with JSON ...
Best practices
0
votes
0
replies
39
views
How to implement access control for Feature Views in Snowflake Feature Store without separate stores per team?
Problem
In a shared Snowflake Feature Store, fs.list_feature_views() returns all Feature Views regardless of which team owns them. There is no native way to scope access to a subset of Feature Views ...
- 771
-2
votes
1
answer
57
views
Getting unrecognized arguments: --federated-token in creating pipeline in microsoft/MLOpsPython
I am using this repo to create a mlops pipeline in Azure Devops.
When i tried to run the CI pipeline, I am getting the unrecognized Federal Token. I asked chatgpt, it says to update the cli version. I ...
0
votes
0
answers
147
views
My model registry component is throwing an error: [INTERNAL_ERROR: Response: {'error': 'unsupported endpoint,}
I'm trying to register a model using mlflow.register_model() while using DagsHub as the MLflow tracking URI. My goal is to use model versioning and transition stages for CI/CD workflows.
Here's the ...
0
votes
1
answer
109
views
How to keep the same version number in AWS SageMaker ModelPackageGroup when updating model with evaluation metrics?
I’m working with AWS SageMaker Model Registry and have a training pipeline that creates and registers a new model package in a ModelPackageGroupName. After that, I have a separate evaluation pipeline ...
- 13
0
votes
0
answers
81
views
How to reference all models in a registry folder in deployment.yml for azure ml studio?
I want a single managed online endpoint that can serve dozens of forecasting models (7 algorithms × N service-centre “hubs”) by routing requests to the correct model at runtime.
Locally this already ...
0
votes
0
answers
127
views
How to run scheduled GPU inference with auto-shutdown using Azure ML?
I have a PyTorch model and a simple inference script that I want to run a few times per day on GPU (specifically H100) in Azure. Ideally, this should be triggered by an event, like a new file in Blob ...
1
vote
0
answers
50
views
Ingesting data into Azure ML model deployment
I am building an ML pipeline in Azure but it is failing when trying to invoke the endpoint with my model. The error reads:
Error Code: ScriptExecution.StreamAccess.NotFound
Native Error: error in ...
- 11
0
votes
1
answer
223
views
How to Configure Model Monitoring in Vertex AI using aiplatform.BatchPredictionJob.create()?
I encountered an issue while setting up Vertex AI Model Monitoring using the aiplatform SDK, specifically when configuring BatchPredictionJob.create(). The documentation was unclear and lacked ...
0
votes
1
answer
154
views
How do I run a parallel server in the background inside a docker container to test it
I want to create a CI/CD pipeline that will automatically build, test and publish a docker container as soon as I push a commit onto github.
To do this I am creating a container using a Dockerfile ...
- 35
0
votes
1
answer
212
views
How to access evaluation metrics in new SageMaker Studio UI after doing model.register?
I am building MLOPs pipelines for a machine learning model. How do I access the evaluation metrics of my model in the SageMake Studio UI after registering the model?
Here's my sample evaluation.json ...
0
votes
1
answer
592
views
`mlflow.transformers.log_model()` does not finish
Problem
I want to use mlflow.transformers.log_model() to log a finetuned huggingface model.
However, when the mlflow.transformers.log_model method is running, it simply does not finish - runs forever -...
- 2,563
-2
votes
1
answer
150
views
Run pods in parallel in Azure Devops to run a single job
I want to run my azure devops agent pool using kubernetes. I am using this to run a Jupyter notebook which takes quite a bit of time to run. I want to know if it is possible for one job which runs the ...
- 3
0
votes
1
answer
161
views
Share code across sagemaker pipeline steps without
I am trying to create Sagemaker pipeline with multiple steps. I have some code which I would like to share across different steps. Next example is not exact but simplified version for illustration.
I ...
- 936
1
vote
1
answer
286
views
How to organize registerd models in R with mlflow?
Using aliases in mlflow is best practice and convienient to organize registered models.
But unfortunately, even the latest mlflow R Package (Version 2.14.1) does not include any methods that allow ...
- 2,563