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| author | Yanbo Liang <ybliang8@gmail.com> | 2016-05-19 10:27:17 -0700 |
|---|---|---|
| committer | Joseph K. Bradley <joseph@databricks.com> | 2016-05-19 10:27:17 -0700 |
| commit | 8ecf7f77b2be0a178a8d94d60477876d4ab7517a (patch) | |
| tree | 8a94965b565f6f6b52e8901f1da1a145da24d10c /mllib/src/test | |
| parent | 1052d3644d7eb0e784eb883293ce63a352a3b123 (diff) | |
| download | spark-8ecf7f77b2be0a178a8d94d60477876d4ab7517a.tar.gz spark-8ecf7f77b2be0a178a8d94d60477876d4ab7517a.tar.bz2 spark-8ecf7f77b2be0a178a8d94d60477876d4ab7517a.zip | |
[SPARK-15292][ML] ML 2.0 QA: Scala APIs audit for classification
## What changes were proposed in this pull request?
Audit Scala API for classification, almost all issues were related ```MultilayerPerceptronClassifier``` in this section.
* Fix one wrong param getter function: ```getOptimizer``` -> ```getSolver```
* Add missing setter function for ```solver``` and ```stepSize```.
* Make ```GD``` solver take effect.
* Update docs, annotations and fix other minor issues.
## How was this patch tested?
Existing unit tests.
Author: Yanbo Liang <ybliang8@gmail.com>
Closes #13076 from yanboliang/spark-15292.
Diffstat (limited to 'mllib/src/test')
| -rw-r--r-- | mllib/src/test/scala/org/apache/spark/ml/classification/MultilayerPerceptronClassifierSuite.scala | 5 |
1 files changed, 3 insertions, 2 deletions
diff --git a/mllib/src/test/scala/org/apache/spark/ml/classification/MultilayerPerceptronClassifierSuite.scala b/mllib/src/test/scala/org/apache/spark/ml/classification/MultilayerPerceptronClassifierSuite.scala index 85f325f076..e809dd4092 100644 --- a/mllib/src/test/scala/org/apache/spark/ml/classification/MultilayerPerceptronClassifierSuite.scala +++ b/mllib/src/test/scala/org/apache/spark/ml/classification/MultilayerPerceptronClassifierSuite.scala @@ -70,6 +70,7 @@ class MultilayerPerceptronClassifierSuite .setBlockSize(1) .setSeed(123L) .setMaxIter(100) + .setSolver("l-bfgs") val model = trainer.fit(dataset) val result = model.transform(dataset) val predictionAndLabels = result.select("prediction", "label").collect() @@ -93,9 +94,9 @@ class MultilayerPerceptronClassifierSuite .setMaxIter(1) .setTol(1e-6) val initialWeights = trainer.fit(dataFrame).weights - trainer.setWeights(initialWeights.copy) + trainer.setInitialWeights(initialWeights.copy) val weights1 = trainer.fit(dataFrame).weights - trainer.setWeights(initialWeights.copy) + trainer.setInitialWeights(initialWeights.copy) val weights2 = trainer.fit(dataFrame).weights assert(weights1 ~== weights2 absTol 10e-5, "Training should produce the same weights given equal initial weights and number of steps") |