spark-instrumented-optimizer/R/pkg/inst
Timothy Hunter bc36fe6e89 [SPARK-14831][SPARKR] Make the SparkR MLlib API more consistent with Spark
## What changes were proposed in this pull request?

This PR splits the MLlib algorithms into two flavors:
 - the R flavor, which tries to mimic the existing R API for these algorithms (and works as an S4 specialization for Spark dataframes)
 - the Spark flavor, which follows the same API and naming conventions as the rest of the MLlib algorithms in the other languages

In practice, the former calls the latter.

## How was this patch tested?

The tests for the various algorithms were adapted to be run against both interfaces.

Author: Timothy Hunter <timhunter@databricks.com>

Closes #12789 from thunterdb/14831.
2016-04-29 23:13:03 -07:00
..
profile [SPARK-13812][SPARKR] Fix SparkR lint-r test errors. 2016-03-13 14:30:44 -07:00
test_support [SPARK-8607] SparkR -- jars not being added to application classpath correctly 2015-06-26 17:06:16 -07:00
tests/testthat [SPARK-14831][SPARKR] Make the SparkR MLlib API more consistent with Spark 2016-04-29 23:13:03 -07:00
worker [SPARK-12919][SPARKR] Implement dapply() on DataFrame in SparkR. 2016-04-29 16:41:07 -07:00