Examples with TrainingDatasetFilter io.hops.hopsworks.persistence.entity.featurestore.trainingdataset.TrainingDatasetFilter used on opensource projects

Example 6 with TrainingDatasetFilter

use of io.hops.hopsworks.persistence.entity.featurestore.trainingdataset.TrainingDatasetFilter in project hopsworks by logicalclocks.

the class TrainingDatasetControllerTest method testconvertToFilterEntities_rightOnlyFiler.

@Test
public void testconvertToFilterEntities_rightOnlyFiler() throws Exception {
    // fg.feature > 2
    // "fg.feature > 2" stores in the right-hand side
    TrainingDataset trainingDataset = new TrainingDataset();
    Feature f1 = new Feature("test_f", "fg0");
    FilterLogic head = new FilterLogic();
    head.setType(SINGLE);
    Filter right = new Filter(f1, GREATER_THAN, "2");
    head.setRightFilter(right);
    List<TrainingDatasetFilter> actual = target.convertToFilterEntities(head, trainingDataset, "L");
    List<TrainingDatasetFilter> expected = new ArrayList<>();
    expected.add(createTrainingDatasetFilter(createTrainingDatasetFilterCondition("test_f", GREATER_THAN, "2"), SINGLE, "L"));
    Assert.assertEquals(expected.size(), actual.size());
    Assert.assertTrue(expected.containsAll(actual));
    Assert.assertTrue(actual.containsAll(expected));
}

Example 7 with TrainingDatasetFilter

use of io.hops.hopsworks.persistence.entity.featurestore.trainingdataset.TrainingDatasetFilter in project hopsworks by logicalclocks.

the class TrainingDatasetControllerTest method testconvertToFilterEntities_leftFilterRightLogic.

@Test
public void testconvertToFilterEntities_leftFilterRightLogic() throws Exception {
    // fg.feature > 1 and (fg.feature > 2 OR fg.feature > 3)
    // "fg.feature > 1" stores as filter
    TrainingDataset trainingDataset = new TrainingDataset();
    Feature f1 = new Feature("test_f", "fg0");
    FilterLogic head = new FilterLogic();
    head.setType(AND);
    Filter left = new Filter(f1, GREATER_THAN, "1");
    head.setLeftFilter(left);
    FilterLogic right = new FilterLogic();
    right.setType(OR);
    Filter right_left = new Filter(f1, GREATER_THAN, "2");
    Filter right_right = new Filter(f1, GREATER_THAN, "3");
    right.setLeftFilter(right_left);
    right.setRightFilter(right_right);
    head.setRightLogic(right);
    List<TrainingDatasetFilter> actual = target.convertToFilterEntities(head, trainingDataset, "L");
    List<TrainingDatasetFilter> expected = new ArrayList<>();
    expected.add(createTrainingDatasetFilter(null, AND, "L"));
    expected.add(createTrainingDatasetFilter(createTrainingDatasetFilterCondition("test_f", GREATER_THAN, "1"), SINGLE, "L.L"));
    expected.add(createTrainingDatasetFilter(null, OR, "L.R"));
    expected.add(createTrainingDatasetFilter(createTrainingDatasetFilterCondition("test_f", GREATER_THAN, "2"), SINGLE, "L.R.L"));
    expected.add(createTrainingDatasetFilter(createTrainingDatasetFilterCondition("test_f", GREATER_THAN, "3"), SINGLE, "L.R.R"));
    Assert.assertEquals(expected.size(), actual.size());
    Assert.assertTrue(expected.containsAll(actual));
    Assert.assertTrue(actual.containsAll(expected));
}

Example 8 with TrainingDatasetFilter

use of io.hops.hopsworks.persistence.entity.featurestore.trainingdataset.TrainingDatasetFilter in project hopsworks by logicalclocks.

the class TrainingDatasetControllerTest method testConvertToFilterLogic_multipleFeatureValueCondition.

public void testConvertToFilterLogic_multipleFeatureValueCondition() throws Exception {
    // fg.feature > fg.otherFeature and fg.feature > fg1.otherFeature
    List<TrainingDatasetFilter> filters = new ArrayList<>();
    filters.add(createTrainingDatasetFilter(null, AND, "L"));
    filters.add(createTrainingDatasetFilter(createTrainingDatasetFilterCondition("test_f", GREATER_THAN, "test_f1", 0, 0), SINGLE, "L.L"));
    filters.add(createTrainingDatasetFilter(createTrainingDatasetFilterCondition("test_f", GREATER_THAN, "test_f2", 0, 1), SINGLE, "L.R"));
    Map<String, Feature> featureLookup = Maps.newHashMap();
    Feature feature = new Feature("test_f", "fg0");
    Feature feature1 = new Feature("test_f1", "fg0");
    Feature feature2 = new Feature("test_f2", "fg1");
    Featuregroup featuregroup0 = new Featuregroup();
    featuregroup0.setId(0);
    Featuregroup featuregroup1 = new Featuregroup();
    featuregroup1.setId(1);
    feature.setFeatureGroup(featuregroup0);
    feature1.setFeatureGroup(featuregroup0);
    feature2.setFeatureGroup(featuregroup1);
    featureLookup.put("0.test_f", feature);
    featureLookup.put("0.test_f1", feature1);
    featureLookup.put("1.test_f2", feature2);
    FilterLogic actual = target.convertToFilterLogic(filters, featureLookup, "L");
    Filter left = new Filter(feature, GREATER_THAN, new FilterValue(0, "fg0", "test_f1"));
    Filter right = new Filter(feature, GREATER_THAN, new FilterValue(1, "fg1", "test_f2"));
    Assert.assertEquals(actual.getType(), AND);
    Assert.assertEquals(actual.getLeftFilter(), left);
    Assert.assertNull(actual.getLeftLogic());
    Assert.assertEquals(actual.getRightFilter(), right);
    Assert.assertNull(actual.getRightLogic());
}

Example 9 with TrainingDatasetFilter

use of io.hops.hopsworks.persistence.entity.featurestore.trainingdataset.TrainingDatasetFilter in project hopsworks by logicalclocks.

the class TrainingDatasetControllerTest method testConvertToFilterLogic_featureValueCondition.

public void testConvertToFilterLogic_featureValueCondition() throws Exception {
    // fg.feature > fg.otherFeature
    List<TrainingDatasetFilter> filters = new ArrayList<>();
    filters.add(createTrainingDatasetFilter(createTrainingDatasetFilterCondition("test_f", GREATER_THAN, "test_f1", 0, 0), SINGLE, "L"));
    Map<String, Feature> featureLookup = Maps.newHashMap();
    Feature feature = new Feature("test_f", "fg0");
    Feature feature1 = new Feature("test_f1", "fg0");
    Featuregroup featuregroup = new Featuregroup();
    featuregroup.setId(0);
    feature.setFeatureGroup(featuregroup);
    feature1.setFeatureGroup(featuregroup);
    featureLookup.put("0.test_f", feature);
    featureLookup.put("0.test_f1", feature1);
    FilterLogic actual = target.convertToFilterLogic(filters, featureLookup, "L");
    Filter left = new Filter(feature, GREATER_THAN, new FilterValue(0, "fg0", "test_f1"));
    Assert.assertEquals(actual.getType(), SINGLE);
    Assert.assertEquals(actual.getLeftFilter(), left);
    Assert.assertNull(actual.getLeftLogic());
    Assert.assertNull(actual.getRightFilter());
    Assert.assertNull(actual.getRightLogic());
}

Example 10 with TrainingDatasetFilter

use of io.hops.hopsworks.persistence.entity.featurestore.trainingdataset.TrainingDatasetFilter in project hopsworks by logicalclocks.

the class TrainingDatasetControllerTest method testConvertToFilterLogic_singleCondition.

public void testConvertToFilterLogic_singleCondition() throws Exception {
    // fg.feature > 1
    List<TrainingDatasetFilter> filters = new ArrayList<>();
    filters.add(createTrainingDatasetFilter(createTrainingDatasetFilterCondition("test_f", GREATER_THAN, "1", 0), SINGLE, "L"));
    Map<String, Feature> featureLookup = Maps.newHashMap();
    Feature feature = new Feature("test_f", "fg0");
    Featuregroup featuregroup = new Featuregroup();
    featuregroup.setId(0);
    feature.setFeatureGroup(featuregroup);
    featureLookup.put("0.test_f", feature);
    FilterLogic actual = target.convertToFilterLogic(filters, featureLookup, "L");
    Feature f1 = new Feature("test_f", "fg0", null, false, null, null);
    f1.setFeatureGroup(featuregroup);
    Filter left = new Filter(f1, GREATER_THAN, "1");
    Assert.assertEquals(actual.getType(), SINGLE);
    Assert.assertEquals(actual.getLeftFilter(), left);
    Assert.assertNull(actual.getLeftLogic());
    Assert.assertNull(actual.getRightFilter());
    Assert.assertNull(actual.getRightLogic());
}