AWS Machine Learning

APRIL 23, 2024

You can run the script by choosing Run in Code Editor or using the CLI in a JupyterLab terminal. For example, DLC-based framework images are Ubuntu based, in which the following instructions would work. The only way to access and interact with Docker images is via the exposed Docker API operations.

Scripts 98

Scripts APIs Engineering Feedback 98

AWS Machine Learning

AUGUST 17, 2023

Prerequisites To continue with the examples in this post, you need to create the required AWS resources. In the Spark script, use the system executable command to run pip install , install this library in your local environment, and get the local path of the JAR file dependency.

APIs 76

APIs Engineering Scripts Analytics 76

AWS Machine Learning

MARCH 7, 2023

A public GitHub repo provides hands-on examples for each of the presented approaches. When you open a notebook in Studio, you are prompted to set up your environment by choosing a SageMaker image, a kernel, an instance type, and, optionally, a lifecycle configuration script that runs on image startup. Define a Dockerfile.

Management 77

Management Scripts Government Engineering 77

AWS Machine Learning

JUNE 6, 2023

support is not limited to the services and compute shown in example use-case in this post; it extends to many others on AWS, which we discuss in this section. Run your DLC container with a model training script to fine-tune the RoBERTa model. In this example, we host a single model. Refer to Optimized PyTorch 2.0

Scripts 72

Scripts APIs Benchmark Management 72

AWS Machine Learning

DECEMBER 1, 2022

As an example, your organization may want to separate your financial line of business from the sustainability research division, as shown in the following multi-domain console. As an example, an administrator can attach a cost allocation tag for the sagemaker:domain-arn tag. experiments=`aws --region $REGION.

APIs 67

APIs Engineering Scripts Accountability 67

AWS Machine Learning

DECEMBER 14, 2023

It’s important to note that creating a Space requires updating the SageMaker domain execution role with a policy like the following example. After you stop the Space, you can modify its settings using either the UI or API via the updated SageMaker Studio interface and then restart the Space.

APIs 101

APIs Engineering Management Scripts 101

AWS Machine Learning

JUNE 28, 2022

For example, the total electricity consumption for a single household is a univariate time series over a period of time. For example, the total electricity consumption of 10 different (but correlated) households in a single neighborhood make up a multi-variate time series dataset. Launch the solution.

Metrics 79

Metrics Healthcare Accountability Transportation 79

AWS Machine Learning

SEPTEMBER 7, 2023

We also discuss some common design scenarios and patterns when building SageMaker Pipelines and provide examples for addressing them. In this post, we provide some best practices to maximize the value of SageMaker Pipelines and make the development experience seamless. Start with the following code: %%writefile lambdafunc.py

Best practices 96

Best practices Scripts Construction APIs 96