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authorZheng RuiFeng <ruifengz@foxmail.com>2016-04-25 10:30:55 +0200
committerSean Owen <sowen@cloudera.com>2016-04-25 10:30:55 +0200
commite6f954a5799d0996bf9f22e0fb67a2f0568b57a4 (patch)
tree1166b680bda0ae6b155c9854c11c33e9ce8de985
parent761fc46c70f15ffc3f35ff87b6a5c9192af1c55f (diff)
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[SPARK-14758][ML] Add checking for StepSize and Tol
## What changes were proposed in this pull request? add the checking for StepSize and Tol in sharedParams ## How was this patch tested? Unit tests Author: Zheng RuiFeng <ruifengz@foxmail.com> Closes #12530 from zhengruifeng/ml_args_checking.
-rw-r--r--mllib/src/main/scala/org/apache/spark/ml/param/shared/SharedParamsCodeGen.scala6
1 files changed, 4 insertions, 2 deletions
diff --git a/mllib/src/main/scala/org/apache/spark/ml/param/shared/SharedParamsCodeGen.scala b/mllib/src/main/scala/org/apache/spark/ml/param/shared/SharedParamsCodeGen.scala
index 1d03a5b4f4..4ab0c16a1b 100644
--- a/mllib/src/main/scala/org/apache/spark/ml/param/shared/SharedParamsCodeGen.scala
+++ b/mllib/src/main/scala/org/apache/spark/ml/param/shared/SharedParamsCodeGen.scala
@@ -71,8 +71,10 @@ private[shared] object SharedParamsCodeGen {
ParamDesc[Double]("elasticNetParam", "the ElasticNet mixing parameter, in range [0, 1]." +
" For alpha = 0, the penalty is an L2 penalty. For alpha = 1, it is an L1 penalty",
isValid = "ParamValidators.inRange(0, 1)"),
- ParamDesc[Double]("tol", "the convergence tolerance for iterative algorithms"),
- ParamDesc[Double]("stepSize", "Step size to be used for each iteration of optimization"),
+ ParamDesc[Double]("tol", "the convergence tolerance for iterative algorithms (>= 0)",
+ isValid = "ParamValidators.gtEq(0)"),
+ ParamDesc[Double]("stepSize", "Step size to be used for each iteration of optimization (>" +
+ " 0)", isValid = "ParamValidators.gt(0)"),
ParamDesc[String]("weightCol", "weight column name. If this is not set or empty, we treat " +
"all instance weights as 1.0"),
ParamDesc[String]("solver", "the solver algorithm for optimization. If this is not set or " +