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| author | WeichenXu <WeichenXu123@outlook.com> | 2016-07-25 20:00:37 +0100 |
|---|---|---|
| committer | Sean Owen <sowen@cloudera.com> | 2016-07-25 20:00:37 +0100 |
| commit | ad3708e78377d631e3d586548c961f4748322bf0 (patch) | |
| tree | d835074b1c49c0fd2e3af7c18c8523ed5992e8c6 /mllib | |
| parent | b73defdd790cb823a4f9958ca89cec06fd198051 (diff) | |
| download | spark-ad3708e78377d631e3d586548c961f4748322bf0.tar.gz spark-ad3708e78377d631e3d586548c961f4748322bf0.tar.bz2 spark-ad3708e78377d631e3d586548c961f4748322bf0.zip | |
[SPARK-16653][ML][OPTIMIZER] update ANN convergence tolerance param default to 1e-6
## What changes were proposed in this pull request?
replace ANN convergence tolerance param default
from 1e-4 to 1e-6
so that it will be the same with other algorithms in MLLib which use LBFGS as optimizer.
## How was this patch tested?
Existing Test.
Author: WeichenXu <WeichenXu123@outlook.com>
Closes #14286 from WeichenXu123/update_ann_tol.
Diffstat (limited to 'mllib')
| -rw-r--r-- | mllib/src/main/scala/org/apache/spark/ml/classification/MultilayerPerceptronClassifier.scala | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/mllib/src/main/scala/org/apache/spark/ml/classification/MultilayerPerceptronClassifier.scala b/mllib/src/main/scala/org/apache/spark/ml/classification/MultilayerPerceptronClassifier.scala index 76ef32aa3d..7264a99b47 100644 --- a/mllib/src/main/scala/org/apache/spark/ml/classification/MultilayerPerceptronClassifier.scala +++ b/mllib/src/main/scala/org/apache/spark/ml/classification/MultilayerPerceptronClassifier.scala @@ -100,7 +100,7 @@ private[classification] trait MultilayerPerceptronParams extends PredictorParams @Since("2.0.0") final def getInitialWeights: Vector = $(initialWeights) - setDefault(maxIter -> 100, tol -> 1e-4, blockSize -> 128, + setDefault(maxIter -> 100, tol -> 1e-6, blockSize -> 128, solver -> MultilayerPerceptronClassifier.LBFGS, stepSize -> 0.03) } @@ -190,7 +190,7 @@ class MultilayerPerceptronClassifier @Since("1.5.0") ( /** * Set the convergence tolerance of iterations. * Smaller value will lead to higher accuracy with the cost of more iterations. - * Default is 1E-4. + * Default is 1E-6. * * @group setParam */ |