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All Content tagged with Amazon SageMaker Model Building

Amazon SageMaker provides all the tools and libraries you need to build ML models, the process of iteratively trying different algorithms and evaluating their accuracy to find the best one for your use case. In Amazon SageMaker you can pick different algorithms, including over 15 that are built-in and optimized for SageMaker, and use over 150 pre-built models from popular model zoos available with a few clicks.

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I have a new model architecture called Functor models, the idea applies to many model types in the micro and SLM spaces. A functor model learns by modifications to its function rather than parameters....
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55
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asked 8 days ago

Hi, I am new to amazon SageMaker. I've a R model need to load into notebook, I tried load from local file folder. Then zipped the .rdata model into tar.gz file, loaded to s3 and used: model...
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338
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asked 2 years ago

Hi, I am instantiating an SKLearn estimator like this: ``` estimator = SKLearn( entry_point='steps/training.py', role=sm_execution_role, image_uri=image_uri, instance_type=instance_ty...
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257
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asked 2 years 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...
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354
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asked 2 years ago

I am creating an marketplace model package. For implementation reasons i would like to support only T4 gpus for batch transform jobs (G4dn machines). I already checked that G4dn machines are available...
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1.2K
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asked 2 years ago

Hi, I am getting the follow error "[ERROR] SSLError: SSL validation failed for https://runtime.sagemaker.eu-north-1.amazonaws.com/endpoints/yolov5ep/invocations EOF occurred in violation of protocol...
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354
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asked 3 years ago

Hello ! I'm trying to delete some inference components from deleted endpoints. I was trying differents methods by aws cli or boto3. ``` aws sagemaker list-inference-components --region eu-central-1 ...
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683
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asked 3 years ago

Hi, I am trying to set up an XGBoost estimator as following ``` estimator = XGBoost( entry_point="code/train_sagemaker.py", role=role, instance_count=1, instance_type="ml.m5.large", ...
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315
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asked 3 years ago

Hello Experts! I'm working on a SageMaker Pipeline poc that uses two custom containers: one for creating a preprocessing model and data, and another for inference to serve the model. I've defined var...
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1.1K
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asked 3 years ago

What should be the boolean value for Reinitialize top layer and Train only the top layer in the finetuning process for SSD MobileNet 1.0 model? Is the SSD model training required only on PNG images?
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229
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asked 3 years ago

On Google Colab, I fine-tuned my stable diffusion model and deployed it on hugging face. Now I want to create an endpoint in Sagamaker and generate new images. I am experiencing problems with image ge...
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276
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asked 3 years ago

This started happening a couple of weeks ago. The Model Registry in Sagemaker Studio stopped displaying repacked models. Notice in the image below how Version 5 and Version 6 are missing: Those are m...
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652
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asked 3 years ago

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