| ################################################################################ |
| # 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 os |
| |
| from pyflink.common import Types, Row |
| from pyflink.ml.tests.test_utils import PyFlinkMLTestCase |
| |
| from pyflink.ml.linalg import Vectors, DenseVectorTypeInfo |
| |
| from pyflink.ml.stats.chisqtest import ChiSqTest |
| |
| |
| class ChiSqTestTest(PyFlinkMLTestCase): |
| def setUp(self): |
| super(ChiSqTestTest, self).setUp() |
| self.input_data_table = self.t_env.from_data_stream( |
| self.env.from_collection([ |
| (0., Vectors.dense(5, 1.)), |
| (2., Vectors.dense(6, 2.)), |
| (1., Vectors.dense(7, 2.)), |
| (1., Vectors.dense(5, 4.)), |
| (0., Vectors.dense(5, 1.)), |
| (2., Vectors.dense(6, 2.)), |
| (1., Vectors.dense(7, 2.)), |
| (1., Vectors.dense(5, 4.)), |
| (2., Vectors.dense(5, 1.)), |
| (0., Vectors.dense(5, 2.)), |
| (0., Vectors.dense(5, 2.)), |
| (1., Vectors.dense(9, 4.)), |
| (1., Vectors.dense(9, 3.)) |
| ], |
| type_info=Types.ROW_NAMED( |
| ['label', 'features'], |
| [Types.DOUBLE(), DenseVectorTypeInfo()])) |
| ) |
| |
| self.expected_output_data = [ |
| Row(featureIndex=0, pValue=0.03419350755, degreeOfFreedom=6, statistic=13.61904761905), |
| Row(featureIndex=1, pValue=0.24220177737, degreeOfFreedom=6, statistic=7.94444444444)] |
| |
| def test_param(self): |
| chi_sq_test = ChiSqTest() |
| self.assertEqual("label", chi_sq_test.label_col) |
| self.assertEqual("features", chi_sq_test.features_col) |
| self.assertFalse(chi_sq_test.flatten) |
| |
| chi_sq_test.set_label_col("test_label") \ |
| .set_features_col("test_features") \ |
| .set_flatten(True) |
| |
| self.assertEqual("test_label", chi_sq_test.label_col) |
| self.assertEqual("test_features", chi_sq_test.features_col) |
| self.assertTrue(chi_sq_test.flatten) |
| |
| def test_output_schema(self): |
| chi_sq_test = ChiSqTest() |
| |
| output = chi_sq_test.transform(self.input_data_table)[0] |
| self.assertEqual( |
| ["pValues", |
| "degreesOfFreedom", |
| "statistics"], |
| output.get_schema().get_field_names()) |
| |
| chi_sq_test.set_flatten(True) |
| |
| output = chi_sq_test.transform(self.input_data_table)[0] |
| self.assertEqual( |
| ["featureIndex", |
| "pValue", |
| "degreeOfFreedom", |
| "statistic"], |
| output.get_schema().get_field_names()) |
| |
| def test_transform(self): |
| # TODO: Add test for non-flatten case after upgrading Flink dependency to |
| # 1.15.3, 1.16.1 or 1.17.0. Related jira: FLINK-29477 |
| chi_sq_test = ChiSqTest().set_flatten(True) |
| output = chi_sq_test.transform(self.input_data_table)[0] |
| actual_output_data = [ |
| result for result in self.t_env.to_data_stream(output).execute_and_collect() |
| ] |
| self.assertEqual(self.expected_output_data, actual_output_data) |
| |
| def test_save_load_and_transform(self): |
| chi_sq_test = ChiSqTest().set_flatten(True) |
| path = os.path.join(self.temp_dir, 'test_save_load_and_transform_chisqtest') |
| chi_sq_test.save(path) |
| chi_sq_test = ChiSqTest.load(self.t_env, path) |
| output = chi_sq_test.transform(self.input_data_table)[0] |
| actual_output_data = [ |
| result for result in self.t_env.to_data_stream(output).execute_and_collect() |
| ] |
| self.assertEqual(self.expected_output_data, actual_output_data) |