aboutsummaryrefslogtreecommitdiff
path: root/examples/src/main/scala/org/apache/spark/examples/LocalLR.scala
diff options
context:
space:
mode:
Diffstat (limited to 'examples/src/main/scala/org/apache/spark/examples/LocalLR.scala')
-rw-r--r--examples/src/main/scala/org/apache/spark/examples/LocalLR.scala6
1 files changed, 2 insertions, 4 deletions
diff --git a/examples/src/main/scala/org/apache/spark/examples/LocalLR.scala b/examples/src/main/scala/org/apache/spark/examples/LocalLR.scala
index 0baf6db607..13ccc2ae7c 100644
--- a/examples/src/main/scala/org/apache/spark/examples/LocalLR.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/LocalLR.scala
@@ -26,8 +26,7 @@ import breeze.linalg.{DenseVector, Vector}
* Logistic regression based classification.
*
* This is an example implementation for learning how to use Spark. For more conventional use,
- * please refer to either org.apache.spark.mllib.classification.LogisticRegressionWithSGD or
- * org.apache.spark.mllib.classification.LogisticRegressionWithLBFGS based on your needs.
+ * please refer to org.apache.spark.ml.classification.LogisticRegression.
*/
object LocalLR {
val N = 10000 // Number of data points
@@ -50,8 +49,7 @@ object LocalLR {
def showWarning() {
System.err.println(
"""WARN: This is a naive implementation of Logistic Regression and is given as an example!
- |Please use either org.apache.spark.mllib.classification.LogisticRegressionWithSGD or
- |org.apache.spark.mllib.classification.LogisticRegressionWithLBFGS
+ |Please use org.apache.spark.ml.classification.LogisticRegression
|for more conventional use.
""".stripMargin)
}