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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def predict(self, mllib_data):
 """Predict probabilities for an RDD of features """

        if isinstance(mllib_data, pyspark.mllib.linalg.Matrix):
            return to_matrix(self._master_network.predict(from_matrix(mllib_data)))
        elif isinstance(mllib_data, pyspark.mllib.linalg.Vector):
            return to_vector(self._master_network.predict(from_vector(mllib_data)))
        else:
            raise ValueError(
                'Provide either an MLLib matrix or vector, got {}'.format(mllib_data.__name__))