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author | Xinghao <pxinghao@gmail.com> | 2013-07-26 17:36:14 -0700 |
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committer | Xinghao <pxinghao@gmail.com> | 2013-07-26 17:36:14 -0700 |
commit | f0a1f95228bdb3f2f4c8a869a96c8df1a066edf3 (patch) | |
tree | eee9d0d8b6cc845bd06fd6bfbb2cca24fa8a4803 /mllib/src/test | |
parent | f74a03c6d82f47e004d32de5bd4e17be91d35888 (diff) | |
download | spark-f0a1f95228bdb3f2f4c8a869a96c8df1a066edf3.tar.gz spark-f0a1f95228bdb3f2f4c8a869a96c8df1a066edf3.tar.bz2 spark-f0a1f95228bdb3f2f4c8a869a96c8df1a066edf3.zip |
Rename LogisticRegression, SVM and Lasso to *_LocalRandomSGD
Diffstat (limited to 'mllib/src/test')
3 files changed, 6 insertions, 6 deletions
diff --git a/mllib/src/test/scala/spark/mllib/classification/LogisticRegressionSuite.scala b/mllib/src/test/scala/spark/mllib/classification/LogisticRegressionSuite.scala index 13612e9a4a..5741906a14 100644 --- a/mllib/src/test/scala/spark/mllib/classification/LogisticRegressionSuite.scala +++ b/mllib/src/test/scala/spark/mllib/classification/LogisticRegressionSuite.scala @@ -18,7 +18,7 @@ class LogisticRegressionSuite extends FunSuite with BeforeAndAfterAll { } // Test if we can correctly learn A, B where Y = logistic(A + B*X) - test("logistic regression") { + test("LogisticRegression_LocalRandomSGD") { val nPoints = 10000 val rnd = new Random(42) @@ -45,7 +45,7 @@ class LogisticRegressionSuite extends FunSuite with BeforeAndAfterAll { val testRDD = sc.parallelize(testData, 2) testRDD.cache() - val lr = new LogisticRegression().setStepSize(10.0) + val lr = new LogisticRegression_LocalRandomSGD().setStepSize(10.0) .setNumIterations(20) val model = lr.train(testRDD) diff --git a/mllib/src/test/scala/spark/mllib/classification/SVMSuite.scala b/mllib/src/test/scala/spark/mllib/classification/SVMSuite.scala index e3a6681ab2..50cf260f49 100644 --- a/mllib/src/test/scala/spark/mllib/classification/SVMSuite.scala +++ b/mllib/src/test/scala/spark/mllib/classification/SVMSuite.scala @@ -19,7 +19,7 @@ class SVMSuite extends FunSuite with BeforeAndAfterAll { System.clearProperty("spark.driver.port") } - test("SVM") { + test("SVM_LocalRandomSGD") { val nPoints = 10000 val rnd = new Random(42) @@ -46,7 +46,7 @@ class SVMSuite extends FunSuite with BeforeAndAfterAll { writer_data.write("\n")}) writer_data.close() - val svm = new SVM().setStepSize(1.0) + val svm = new SVM_LocalRandomSGD().setStepSize(1.0) .setRegParam(1.0) .setNumIterations(100) diff --git a/mllib/src/test/scala/spark/mllib/regression/LassoSuite.scala b/mllib/src/test/scala/spark/mllib/regression/LassoSuite.scala index 90fedb3e84..9836ac54c1 100644 --- a/mllib/src/test/scala/spark/mllib/regression/LassoSuite.scala +++ b/mllib/src/test/scala/spark/mllib/regression/LassoSuite.scala @@ -17,7 +17,7 @@ class LassoSuite extends FunSuite with BeforeAndAfterAll { System.clearProperty("spark.driver.port") } - test("Lasso") { + test("Lasso_LocalRandomSGD") { val nPoints = 10000 val rnd = new Random(42) @@ -36,7 +36,7 @@ class LassoSuite extends FunSuite with BeforeAndAfterAll { val testRDD = sc.parallelize(testData, 2) testRDD.cache() - val ls = new Lasso().setStepSize(1.0) + val ls = new Lasso_LocalRandomSGD().setStepSize(1.0) .setRegParam(0.01) .setNumIterations(20) |