shunping commented on code in PR #34232: URL: https://github.com/apache/beam/pull/34232#discussion_r1987859585
########## sdks/python/apache_beam/ml/anomaly/detectors/iqr_test.py: ########## @@ -0,0 +1,52 @@ +# +# Licensed to the Apache Software Foundation (ASF) under one or more +# contributor license agreements. See the NOTICE file distributed with +# this work for additional information regarding copyright ownership. +# The ASF licenses this file to You under the Apache License, Version 2.0 +# (the "License"); you may not use this file except in compliance with +# the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +import logging +import math +import unittest + +import apache_beam as beam +from apache_beam.ml.anomaly.detectors.iqr import IQR + + +class IQRTest(unittest.TestCase): + input = [ + beam.Row(x=1), + beam.Row(x=1), + beam.Row(x=5), + beam.Row(x=9), + beam.Row(x=20), + beam.Row(x=10), + beam.Row(x=1) + ] + + def test_with_default_trackers(self): + iqr = IQR() + + scores = [] + for row in IQRTest.input: + scores.append(iqr.score_one(row)) + iqr.learn_one(row) + + self.assertTrue(math.isnan(scores[0])) + self.assertEqual( + scores[1:], [0.0, 0.0, 3.0, 2.8, 0.125, 0.12903225806451613]) Review Comment: Now I begin to think if we should switch the meaning of 'NaN' and None given the property of 'NaN' in the equal function. Because in a decent pipeline, we should always see missing values (at least at the beginning of the model) and the error values will be very rare. For comparison purpose, 'None' value is more friendly than 'NaN'. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
