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-rw-r--r--python/pyspark/ml/classification.py16
1 files changed, 14 insertions, 2 deletions
diff --git a/python/pyspark/ml/classification.py b/python/pyspark/ml/classification.py
index d51b80e16c..07cafa0993 100644
--- a/python/pyspark/ml/classification.py
+++ b/python/pyspark/ml/classification.py
@@ -762,7 +762,7 @@ class NaiveBayesModel(JavaModel, JavaMLWritable, JavaMLReadable):
@inherit_doc
class MultilayerPerceptronClassifier(JavaEstimator, HasFeaturesCol, HasLabelCol, HasPredictionCol,
- HasMaxIter, HasTol, HasSeed):
+ HasMaxIter, HasTol, HasSeed, JavaMLWritable, JavaMLReadable):
"""
Classifier trainer based on the Multilayer Perceptron.
Each layer has sigmoid activation function, output layer has softmax.
@@ -792,6 +792,18 @@ class MultilayerPerceptronClassifier(JavaEstimator, HasFeaturesCol, HasLabelCol,
|[0.0,0.0]| 0.0|
+---------+----------+
...
+ >>> mlp_path = temp_path + "/mlp"
+ >>> mlp.save(mlp_path)
+ >>> mlp2 = MultilayerPerceptronClassifier.load(mlp_path)
+ >>> mlp2.getBlockSize()
+ 1
+ >>> model_path = temp_path + "/mlp_model"
+ >>> model.save(model_path)
+ >>> model2 = MultilayerPerceptronClassificationModel.load(model_path)
+ >>> model.layers == model2.layers
+ True
+ >>> model.weights == model2.weights
+ True
.. versionadded:: 1.6.0
"""
@@ -869,7 +881,7 @@ class MultilayerPerceptronClassifier(JavaEstimator, HasFeaturesCol, HasLabelCol,
return self.getOrDefault(self.blockSize)
-class MultilayerPerceptronClassificationModel(JavaModel):
+class MultilayerPerceptronClassificationModel(JavaModel, JavaMLWritable, JavaMLReadable):
"""
Model fitted by MultilayerPerceptronClassifier.