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authorYanbo Liang <ybliang8@gmail.com>2016-09-06 03:30:37 -0700
committerYanbo Liang <ybliang8@gmail.com>2016-09-06 03:30:37 -0700
commit39d538dddf7d44bf4603c966d0f7b2c92f1e951a (patch)
tree3a172259e76f88f66098644efa4d57336bea42e1
parent6f13aa7dfee12b1b301bd10a1050549008ecc67e (diff)
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[MINOR][ML] Correct weights doc of MultilayerPerceptronClassificationModel.
## What changes were proposed in this pull request? ```weights``` of ```MultilayerPerceptronClassificationModel``` should be the output weights of layers rather than initial weights, this PR correct it. ## How was this patch tested? Doc change. Author: Yanbo Liang <ybliang8@gmail.com> Closes #14967 from yanboliang/mlp-weights.
-rw-r--r--mllib/src/main/scala/org/apache/spark/ml/classification/MultilayerPerceptronClassifier.scala2
-rw-r--r--python/pyspark/ml/classification.py2
2 files changed, 2 insertions, 2 deletions
diff --git a/mllib/src/main/scala/org/apache/spark/ml/classification/MultilayerPerceptronClassifier.scala b/mllib/src/main/scala/org/apache/spark/ml/classification/MultilayerPerceptronClassifier.scala
index 7264a99b47..88fe7cb4a6 100644
--- a/mllib/src/main/scala/org/apache/spark/ml/classification/MultilayerPerceptronClassifier.scala
+++ b/mllib/src/main/scala/org/apache/spark/ml/classification/MultilayerPerceptronClassifier.scala
@@ -288,7 +288,7 @@ object MultilayerPerceptronClassifier
*
* @param uid uid
* @param layers array of layer sizes including input and output layers
- * @param weights vector of initial weights for the model that consists of the weights of layers
+ * @param weights the weights of layers
* @return prediction model
*/
@Since("1.5.0")
diff --git a/python/pyspark/ml/classification.py b/python/pyspark/ml/classification.py
index d1522d78fa..b4c01fd5c4 100644
--- a/python/pyspark/ml/classification.py
+++ b/python/pyspark/ml/classification.py
@@ -1276,7 +1276,7 @@ class MultilayerPerceptronClassificationModel(JavaModel, JavaPredictionModel, Ja
@since("2.0.0")
def weights(self):
"""
- vector of initial weights for the model that consists of the weights of layers.
+ the weights of layers.
"""
return self._call_java("weights")