[SPARK-9647] MLlib + SparkR integration for 1.6

• Type: Umbrella
• Status: Resolved
• Priority: Critical
• Resolution: Fixed
• Fix Version/s: 1.6.0
• Component/s: ML, SparkR
• Target Version/s: 1.6.0
• Assignee: Xiangrui Meng
• Reporter: Xiangrui Meng
• Created: 05/Aug/15 17:47
• Updated: 13/Nov/15 16:34
• Resolved: 13/Nov/15 16:34

Description

This is an umbrella JIRA for MLlib + SparkR integration for Spark 1.6, continuing the work from SPARK-6805. Some suggested features:

1. model coefficients for logistic regression
2. support feature interactions in RFormula
3. summary statistics -> implemented for linear regression
4. more error families -> 1.7

Issue Links

• depends upon: SPARK-6805 MLlib + SparkR integration for 1.5
• is related to: SPARK-9835 Iteratively reweighted least squares solver for GLMs
• is related to: SPARK-9698 Add feature interaction as a transformer
• is related to: SPARK-9834 Normal equation solver for ordinary least squares