aboutsummaryrefslogtreecommitdiff
path: root/examples
diff options
context:
space:
mode:
Diffstat (limited to 'examples')
-rw-r--r--examples/src/main/java/org/apache/spark/examples/ml/JavaSimpleParamsExample.java3
-rw-r--r--examples/src/main/python/ml/simple_params_example.py2
-rw-r--r--examples/src/main/scala/org/apache/spark/examples/ml/SimpleParamsExample.scala2
3 files changed, 4 insertions, 3 deletions
diff --git a/examples/src/main/java/org/apache/spark/examples/ml/JavaSimpleParamsExample.java b/examples/src/main/java/org/apache/spark/examples/ml/JavaSimpleParamsExample.java
index dac649d1d5..94beeced3d 100644
--- a/examples/src/main/java/org/apache/spark/examples/ml/JavaSimpleParamsExample.java
+++ b/examples/src/main/java/org/apache/spark/examples/ml/JavaSimpleParamsExample.java
@@ -77,7 +77,8 @@ public class JavaSimpleParamsExample {
ParamMap paramMap = new ParamMap();
paramMap.put(lr.maxIter().w(20)); // Specify 1 Param.
paramMap.put(lr.maxIter(), 30); // This overwrites the original maxIter.
- paramMap.put(lr.regParam().w(0.1), lr.threshold().w(0.55)); // Specify multiple Params.
+ double thresholds[] = {0.45, 0.55};
+ paramMap.put(lr.regParam().w(0.1), lr.thresholds().w(thresholds)); // Specify multiple Params.
// One can also combine ParamMaps.
ParamMap paramMap2 = new ParamMap();
diff --git a/examples/src/main/python/ml/simple_params_example.py b/examples/src/main/python/ml/simple_params_example.py
index a9f29dab2d..2d6d115d54 100644
--- a/examples/src/main/python/ml/simple_params_example.py
+++ b/examples/src/main/python/ml/simple_params_example.py
@@ -70,7 +70,7 @@ if __name__ == "__main__":
# We may alternatively specify parameters using a parameter map.
# paramMap overrides all lr parameters set earlier.
- paramMap = {lr.maxIter: 20, lr.threshold: 0.55, lr.probabilityCol: "myProbability"}
+ paramMap = {lr.maxIter: 20, lr.thresholds: [0.45, 0.55], lr.probabilityCol: "myProbability"}
# Now learn a new model using the new parameters.
model2 = lr.fit(training, paramMap)
diff --git a/examples/src/main/scala/org/apache/spark/examples/ml/SimpleParamsExample.scala b/examples/src/main/scala/org/apache/spark/examples/ml/SimpleParamsExample.scala
index 58d7b67674..f4d1fe5785 100644
--- a/examples/src/main/scala/org/apache/spark/examples/ml/SimpleParamsExample.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/ml/SimpleParamsExample.scala
@@ -70,7 +70,7 @@ object SimpleParamsExample {
// which supports several methods for specifying parameters.
val paramMap = ParamMap(lr.maxIter -> 20)
paramMap.put(lr.maxIter, 30) // Specify 1 Param. This overwrites the original maxIter.
- paramMap.put(lr.regParam -> 0.1, lr.threshold -> 0.55) // Specify multiple Params.
+ paramMap.put(lr.regParam -> 0.1, lr.thresholds -> Array(0.45, 0.55)) // Specify multiple Params.
// One can also combine ParamMaps.
val paramMap2 = ParamMap(lr.probabilityCol -> "myProbability") // Change output column name