AWS SageMaker

Official · maintained by Marmot
marmotdata/sagemaker

Discover models, endpoints, feature groups and training jobs from Amazon SageMaker

Machine learning Assets Lineage Run History Experimental
You're viewing v0.1.0. The latest release is v0.1.2. View latest
No docs were published for v0.1.0. It installs like any other release; see a newer version for configuration details.

In the UI

Point-and-click, no config file needed.

  1. 1 Open Runs Create pipeline
  2. 2 Pick AWS SageMaker from the plugin list.
  3. 3 Fill in the wizard, set a schedule, save.
Read the UI guide

With the CLI

Save a YAML config, then run marmot ingest.

ingest.yaml yaml 
name: my-sagemaker-pipeline
runs:
  - sagemaker:
      # No config spec was published for v0.1.0.
      # See a newer release for the available fields.
$ marmot ingest -c ingest.yaml
Read the CLI guide

Not using plugins? Other ways to populate Marmot

Terraform Declare assets as infrastructure-as-code. Pulumi Native TypeScript, Python, or Go resources. Kubernetes Operator Sync assets from Kubernetes custom resources.