All Content tagged with Amazon SageMaker Model Monitor
Amazon SageMaker Model Monitor monitors the quality of Amazon SageMaker machine learning models in production.
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I'm encountering an error when creating a Model Monitor schedule through SageMaker Studio. The job fails during the ground truth merge step. In the CloudWatch logs, I see the following error:
`Error:...
Hi , I have few queries regarding sagemaker. Are there any APIs that will provide-
1. DETAILED info on the running models (instances) deployed on Sagemaker endpoint ?
2. DETAILED info on the list of M...
Hi all, can someone explain to me how SageMaker model monitor works? Do i have to manually put in the ground truth for the inference predictions the model makes in real time?
asked 7 months ago
Hi,
I have an MLOps pipeline whose code is stored in CodeCommit. A commit to CodeCommit triggers a CodePipeline which in turn triggers a Sagemaker pipeline. The Sagemaker Pipeline creates a new mode...
I have created a data monitoring schedule using the `DefaultModelMonitor` . In the monitoring schedule call I'm passing constraints and statistics that was generated using the baseline job. I'm also u...
Hello,
I have deployed Mistral 7B LLM model on aws sagemaker using sagemaker studio jumpstart.
I have the endpoint with me.
Now I want to know how I can monitor this model using Sagemaker Model Moni...
Like the individual who posted this question on the AWS forum, I am also looking to use create_monitoring_schedule. In a record_preprocessor_script file, I want to import various dependent Python scri...
I've set up a model and run regular batch transforms on it. Data capture is enabled and there is a data quality monitoring schedule that runs every hour. The problem I have is linking the results of t...
Sagemaker data quality monitor is generating new baseline constraint even when I have provided a baseline constraints.
Why its not using the existing baseline constraint file?
can the header have period ? ex: Feature.names
**Background**
Our team uses sagemaker processing job to do data baselining, which is to produce statistics result based on a large scale of training dataset. In other words, the goal of solving this...
I can see that data capture is supported only for real time and batch transformations endpoints. Is there any suggested work around for serverless sagemaker inference endpoints. I would like to set up...