Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/8067#discussion_r39239346
--- Diff: python/pyspark/ml/classification.py ---
@@ -808,6 +809,129 @@ def theta(self):
return self._call_java("theta")
+@inherit_doc
+class MultilayerPerceptronClassifier(JavaEstimator, HasFeaturesCol,
HasLabelCol, HasPredictionCol,
+ HasMaxIter, HasTol, HasSeed):
+ """
+ Classifier trainer based on the Multilayer Perceptron.
+ Each layer has sigmoid activation function, output layer has softmax.
+ Number of inputs has to be equal to the size of feature vectors.
+ Number of outputs has to be equal to the total number of labels.
+
+ >>> from pyspark.sql import Row
+ >>> from pyspark.mllib.linalg import Vectors
+ >>> df = sc.parallelize([
+ ... Row(label=0.0, features=Vectors.dense([0.0, 0.0])),
+ ... Row(label=1.0, features=Vectors.dense([0.0, 1.0])),
+ ... Row(label=1.0, features=Vectors.dense([1.0, 0.0])),
+ ... Row(label=0.0, features=Vectors.dense([1.0, 1.0]))]).toDF()
+ >>> myLayers = [2, 5, 2]
--- End diff --
set `[2, 5, 2]` on L829
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