All Content tagged with Amazon SageMaker Model Monitor

With new amazon Sagemaker unified studio, can i still run Sagemaker Autopilot and Sagemaker model monitor jobs?

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?

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...