aws / aws/sagemaker-spark

Similar to SageMakerEstimator Is there a way to set hyperParameters map to XGBoostSageMakerEstimator

Open
#91 3 comments 0 reactions 0 assignees View on GitHub
feature request
Dominant language
Scala
Stars
301
Forks
129
PR merge metrics
No merged PRs in 30d

Description

System Information
- **Spark**
- **sagemaker-spark-sdk Version**
- **Spark Version -spark_2.2.0-1.1.0**
- **Algorithm (XGBoost)**

### Describe the problem
Similar to SageMakerEstimator Is there a way to set hyperParameters map to XGBoostSageMakerEstimator, I do not see that it is an option in [API docs.](https://aws.github.io/sagemaker-spark/#com.amazonaws.services.sagemaker.sparksdk.algorithms.XGBoostSageMakerEstimator) If not will you be able to enable this feature?

Contributor guide

Open the contributing guide

Research direction

Start by comparing XGBoostSageMakerEstimator with SageMakerEstimator and reviewing the linked API documentation to understand how hyperparameters are exposed. Confirm the expected behavior for a hyperParameters map and check the relevant existing tests. Done means XGBoostSageMakerEstimator supports setting the map consistently with SageMakerEstimator, with test coverage.

Written by the indexing model from the issue text.

Assessment

Tech stack
scala, spark
Domain
machine-learning
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.