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authorNakul Jindal <njindal@us.ibm.com>2015-10-28 01:02:03 -0700
committerDB Tsai <dbt@netflix.com>2015-10-28 01:02:03 -0700
commit5f1cee6f158adb1f9f485ed1d529c56bace68adc (patch)
treef06951a9ef512688ff0419cdba46f8f686a58906 /mllib/src/test/scala/org
parent82c1c5772817785709b0289f7d836beba812c791 (diff)
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[SPARK-11332] [ML] Refactored to use ml.feature.Instance instead of WeightedLeastSquare.Instance
WeightedLeastSquares now uses the common Instance class in ml.feature instead of a private one. Author: Nakul Jindal <njindal@us.ibm.com> Closes #9325 from nakul02/SPARK-11332_refactor_WeightedLeastSquares_dot_Instance.
Diffstat (limited to 'mllib/src/test/scala/org')
-rw-r--r--mllib/src/test/scala/org/apache/spark/ml/optim/WeightedLeastSquaresSuite.scala10
1 files changed, 5 insertions, 5 deletions
diff --git a/mllib/src/test/scala/org/apache/spark/ml/optim/WeightedLeastSquaresSuite.scala b/mllib/src/test/scala/org/apache/spark/ml/optim/WeightedLeastSquaresSuite.scala
index 652f3adb98..b542ba3dc5 100644
--- a/mllib/src/test/scala/org/apache/spark/ml/optim/WeightedLeastSquaresSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/ml/optim/WeightedLeastSquaresSuite.scala
@@ -18,7 +18,7 @@
package org.apache.spark.ml.optim
import org.apache.spark.SparkFunSuite
-import org.apache.spark.ml.optim.WeightedLeastSquares.Instance
+import org.apache.spark.ml.feature.Instance
import org.apache.spark.mllib.linalg.Vectors
import org.apache.spark.mllib.util.MLlibTestSparkContext
import org.apache.spark.mllib.util.TestingUtils._
@@ -38,10 +38,10 @@ class WeightedLeastSquaresSuite extends SparkFunSuite with MLlibTestSparkContext
w <- c(1, 2, 3, 4)
*/
instances = sc.parallelize(Seq(
- Instance(1.0, Vectors.dense(0.0, 5.0).toSparse, 17.0),
- Instance(2.0, Vectors.dense(1.0, 7.0), 19.0),
- Instance(3.0, Vectors.dense(2.0, 11.0), 23.0),
- Instance(4.0, Vectors.dense(3.0, 13.0), 29.0)
+ Instance(17.0, 1.0, Vectors.dense(0.0, 5.0).toSparse),
+ Instance(19.0, 2.0, Vectors.dense(1.0, 7.0)),
+ Instance(23.0, 3.0, Vectors.dense(2.0, 11.0)),
+ Instance(29.0, 4.0, Vectors.dense(3.0, 13.0))
), 2)
}