Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/6849#discussion_r33084933
--- Diff: python/pyspark/mllib/classification.py ---
@@ -580,6 +583,102 @@ def train(cls, data, lambda_=1.0):
return NaiveBayesModel(labels.toArray(), pi.toArray(),
numpy.array(theta))
+class StreamingLinearAlgorithm(object):
+ """
+ Base class that has to be inherited by any StreamingLinearAlgorithm.
+
+ Prevents reimplementation of methods predictOn and predictOnValues.
+ """
+ def __init__(self, model):
+ self._model = model
+
+ def latestModel(self):
+ """
+ Returns the latest model.
+ """
+ return self._model
+
+ def _validate(self, dstream):
+ if not isinstance(dstream, DStream):
+ raise TypeError(
+ "dstream should be a DStream object, got %s" %
type(dstream))
+ if not self._model:
+ raise ValueError(
+ "Model must be intialized using setInitialWeights")
+
+ def predictOn(self, dstream):
+ """
+ Make predictions on a dstream.
+
+ Returns a transformed dstream object.
--- End diff --
`:return:`
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