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Diffstat (limited to 'examples/src/main/scala')
| -rw-r--r-- | examples/src/main/scala/org/apache/spark/examples/ml/DeveloperApiExample.scala | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/examples/src/main/scala/org/apache/spark/examples/ml/DeveloperApiExample.scala b/examples/src/main/scala/org/apache/spark/examples/ml/DeveloperApiExample.scala index df26798e41..2245fa429f 100644 --- a/examples/src/main/scala/org/apache/spark/examples/ml/DeveloperApiExample.scala +++ b/examples/src/main/scala/org/apache/spark/examples/ml/DeveloperApiExample.scala @@ -99,7 +99,7 @@ private trait MyLogisticRegressionParams extends ClassifierParams { * class since the maxIter parameter is only used during training (not in the Model). */ val maxIter: IntParam = new IntParam(this, "maxIter", "max number of iterations") - def getMaxIter: Int = get(maxIter) + def getMaxIter: Int = getOrDefault(maxIter) } /** @@ -174,11 +174,11 @@ private class MyLogisticRegressionModel( * Create a copy of the model. * The copy is shallow, except for the embedded paramMap, which gets a deep copy. * - * This is used for the defaul implementation of [[transform()]]. + * This is used for the default implementation of [[transform()]]. */ override protected def copy(): MyLogisticRegressionModel = { val m = new MyLogisticRegressionModel(parent, fittingParamMap, weights) - Params.inheritValues(this.paramMap, this, m) + Params.inheritValues(extractParamMap(), this, m) m } } |