[SPARK-8539] LinearRegressionSummary class for storing LR training stats

• Type: New Feature
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Fix Version/s: 1.5.0
• Component/s: ML
• Target Version/s: 1.5.0
• Assignee: Feynman Liang
• Reporter: Joseph K. Bradley
• Shepherd: Joseph K. Bradley
• Created: 22/Jun/15 21:24
• Updated: 12/Aug/15 21:27
• Resolved: 09/Jul/15 23:21

Description

This is a subtask of SPARK-7674. Please see the design doc linked from SPARK-7674 for details.

LinearRegressionSummary will store stats from training, such as objective value on each iteration, avg residual, etc. It will store a LinearRegressionResults instance for the results on the training dataset.

The assignee should make sure to coordinate with others working on SPARK-7674.

Note: This can add a limited number of metrics. We can always add more in the future.

Issue Links

• is required by: SPARK-7674 R-like stats for ML models
• relates to: SPARK-9905 User guide for LinearRegressionSummary
• requires: SPARK-8538 LinearRegressionResults class for storing LR results on data
• links to: [Github] Pull Request #7099 (feynmanliang)