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| author | Xiangrui Meng <meng@databricks.com> | 2016-06-21 08:31:15 -0700 |
|---|---|---|
| committer | Xiangrui Meng <meng@databricks.com> | 2016-06-21 08:31:15 -0700 |
| commit | 4f83ca1059a3b580fca3f006974ff5ac4d5212a1 (patch) | |
| tree | 0d1c12a4c1f67574acdad034bc909e17117fa10b /graphx | |
| parent | f3a768b7b96f00f33d2fe4e6c0bf4acf373ad4f4 (diff) | |
| download | spark-4f83ca1059a3b580fca3f006974ff5ac4d5212a1.tar.gz spark-4f83ca1059a3b580fca3f006974ff5ac4d5212a1.tar.bz2 spark-4f83ca1059a3b580fca3f006974ff5ac4d5212a1.zip | |
[SPARK-15177][.1][R] make SparkR model params and default values consistent with MLlib
## What changes were proposed in this pull request?
This PR is a subset of #13023 by yanboliang to make SparkR model param names and default values consistent with MLlib. I tried to avoid other changes from #13023 to keep this PR minimal. I will send a follow-up PR to improve the documentation.
Main changes:
* `spark.glm`: epsilon -> tol, maxit -> maxIter
* `spark.kmeans`: default k -> 2, default maxIter -> 20, default initMode -> "k-means||"
* `spark.naiveBayes`: laplace -> smoothing, default 1.0
## How was this patch tested?
Existing unit tests.
Author: Xiangrui Meng <meng@databricks.com>
Closes #13801 from mengxr/SPARK-15177.1.
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