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[SPARK-14152] [ML] [PySpark] MultilayerPerceptronClassifier supports save/load for Python API #11952

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[SPARK-14152] [ML] [PySpark] MultilayerPerceptronClassifier supports save/load for Python API #11952

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16 changes: 14 additions & 2 deletions python/pyspark/ml/classification.py
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Original file line number Diff line number Diff line change
Expand Up @@ -762,7 +762,7 @@ def theta(self):

@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.
Expand Down Expand Up @@ -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
"""
Expand Down Expand Up @@ -869,7 +881,7 @@ def getBlockSize(self):
return self.getOrDefault(self.blockSize)


class MultilayerPerceptronClassificationModel(JavaModel):
class MultilayerPerceptronClassificationModel(JavaModel, JavaMLWritable, JavaMLReadable):
"""
Model fitted by MultilayerPerceptronClassifier.

Expand Down