aws / aws/amazon-sagemaker-examples
[Example Request] Example showing how to utilise tree collection metrics captured from XGBoost estimator object
- Dominant language
- Jupyter Notebook
- Stars
- 11k
- Forks
- 7k
- Avg merge
- 8h 29m
- Merged PRs (30d)
- 8
Description
**Describe the use case example you want to see**
Example showing how to utilise tree collection metrics captured from XGBoost estimator object
**How would this example be used? Please describe.**
Use XGBoost estimator, collect tree metrics, from debugger hook and visualize the tree metrics in an interpretable manner
**Describe which SageMaker services are involved**
Sagemaker Debugger
**Describe what other services (other than SageMaker) are involved***
NA
Contributor guide
Research direction
Start by locating the SageMaker Debugger hook and the XGBoost estimator example entry point. Determine how tree collection metrics are captured, then document an interpretable visualization workflow using those metrics; done means the example runs and shows the collected tree metrics.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- data-visualization, machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 30/100