Examples with FeatureVector com.airbnb.aerosolve.core.FeatureVector used on opensource projects

Example 41 with FeatureVector

use of com.airbnb.aerosolve.core.FeatureVector in project aerosolve by airbnb.

the class CustomMultiscaleQuantizeTransformTest method testSelectAndExcludeFeatures.

@Test
public void testSelectAndExcludeFeatures() {
    Config config = ConfigFactory.parseString(makeConfig("select_features: [\"lat\", \"long\"] \n" + "exclude_features: [\"lat\"] \n"));
    Transform transform = TransformFactory.createTransform(config, "test_quantize");
    FeatureVector featureVector = makeFeatureVector();
    transform.doTransform(featureVector);
    Map<String, Set<String>> stringFeatures = featureVector.getStringFeatures();
    assertTrue(stringFeatures.size() == 2);
    Set<String> out = stringFeatures.get("loc_quantized");
    log.info("quantize output");
    for (String string : out) {
        log.info(string);
    }
    assertTrue(out.size() == 2);
    assertTrue(out.contains("long[1.0]=40.0"));
    assertTrue(out.contains("long[10.0]=40.0"));
}

Example 42 with FeatureVector

use of com.airbnb.aerosolve.core.FeatureVector in project aerosolve by airbnb.

the class CustomMultiscaleQuantizeTransformTest method testExcludeFeatures.

@Test
public void testExcludeFeatures() {
    Config config = ConfigFactory.parseString(makeConfig("exclude_features: [\"lat\"] \n"));
    Transform transform = TransformFactory.createTransform(config, "test_quantize");
    FeatureVector featureVector = makeFeatureVector();
    transform.doTransform(featureVector);
    Map<String, Set<String>> stringFeatures = featureVector.getStringFeatures();
    assertTrue(stringFeatures.size() == 2);
    Set<String> out = stringFeatures.get("loc_quantized");
    log.info("quantize output");
    for (String string : out) {
        log.info(string);
    }
    assertTrue(out.size() == 5);
    assertTrue(out.contains("long[1.0]=40.0"));
    assertTrue(out.contains("long[10.0]=40.0"));
    assertTrue(out.contains("zero=0"));
    assertTrue(out.contains("negative[1.0]=-1.0"));
    assertTrue(out.contains("negative[10.0]=0.0"));
}

Example 43 with FeatureVector

use of com.airbnb.aerosolve.core.FeatureVector in project aerosolve by airbnb.

the class CustomMultiscaleQuantizeTransformTest method testEmptyFeatureVector.

@Test
public void testEmptyFeatureVector() {
    Config config = ConfigFactory.parseString(makeConfig(""));
    Transform transform = TransformFactory.createTransform(config, "test_quantize");
    FeatureVector featureVector = new FeatureVector();
    transform.doTransform(featureVector);
    assertTrue(featureVector.getStringFeatures() == null);
}

Example 44 with FeatureVector

use of com.airbnb.aerosolve.core.FeatureVector in project aerosolve by airbnb.

the class CustomMultiscaleQuantizeTransformTest method testSelectFeatures.

@Test
public void testSelectFeatures() {
    Config config = ConfigFactory.parseString(makeConfig("select_features: [\"lat\"] \n"));
    Transform transform = TransformFactory.createTransform(config, "test_quantize");
    FeatureVector featureVector = makeFeatureVector();
    transform.doTransform(featureVector);
    Map<String, Set<String>> stringFeatures = featureVector.getStringFeatures();
    assertTrue(stringFeatures.size() == 2);
    Set<String> out = stringFeatures.get("loc_quantized");
    log.info("quantize output");
    for (String string : out) {
        log.info(string);
    }
    assertTrue(out.size() == 2);
    assertTrue(out.contains("lat[10.0]=30.0"));
    assertTrue(out.contains("lat[1.0]=37.0"));
}

Example 45 with FeatureVector

use of com.airbnb.aerosolve.core.FeatureVector in project aerosolve by airbnb.

the class CutFloatTransformTest method testTransform.

@Test
public void testTransform() {
    Config config = ConfigFactory.parseString(makeConfig());
    Transform transform = TransformFactory.createTransform(config, "test_cut");
    FeatureVector featureVector = TransformTestingHelper.makeFeatureVector();
    transform.doTransform(featureVector);
    Map<String, Set<String>> stringFeatures = featureVector.getStringFeatures();
    assertTrue(stringFeatures.size() == 1);
    Map<String, Double> feat1 = featureVector.getFloatFeatures().get("loc");
    assertEquals(2, feat1.size());
    assertEquals(37.7, feat1.get("lat"), 0.1);
    assertNull(feat1.get("long"));
    assertEquals(-20.0, feat1.get("z"), 0.1);
}