[SPARK-11668] R style summary stats in GLM package SparkR

• Type: Improvement
• Status: Resolved
• Priority: Minor
• Resolution: Duplicate
• Affects Version/s: 1.5.0, 1.5.1
• Component/s: SparkR
• Labels: GLM sparkr

Environment

LINUX
WINDOWS
MAC

• Target Version/s: 1.5.1
• Flags: Important
• Assignee: Unassigned
• Reporter: Shubhanshu Mishra
• Shepherd: Shivram Mani
• Created: 11/Nov/15 21:04
• Updated: 13/Nov/15 16:33
• Resolved: 13/Nov/15 16:33

Description

In the current GLM module in R the `summary(model)` function call will only return the values of the coefficients however in the actual R GLM module, the function also returns the std. err, z score, p-value and confidence intervals for the coefficients as well as some model based statistics like R-squared values, AIC, BIC etc.

Another inspiration for adding these metrics can be using the format of python statsmodels package described here: http://statsmodels.sourceforge.net/devel/examples/notebooks/generated/formulas.html

Issue Links

• duplicates: SPARK-11494 Expose R-like summary statistics in SparkR::glm for linear regression