/** * Adds a value to a vector. * * @param originalForm The original form of the value as a string. * @param data The vector to which the value should be added. */ @Override public void addToVector(String originalForm, double weight, Vector data) { dictionary.add(originalForm); super.addToVector(originalForm, weight, data); }
/** * Adds a value to a vector. * * @param originalForm The original form of the value as a string. * @param data The vector to which the value should be added. */ @Override public void addToVector(String originalForm, double weight, Vector data) { dictionary.add(originalForm); super.addToVector(originalForm, weight, data); }
/** * Adds a value to a vector. * * @param originalForm The original form of the value as a string. * @param data The vector to which the value should be added. */ @Override public void addToVector(String originalForm, double weight, Vector data) { dictionary.add(originalForm); super.addToVector(originalForm, weight, data); }
@Test public void testAddToVector() { WordValueEncoder wv = new StaticWordValueEncoder("word"); ContinuousValueEncoder cv = new ContinuousValueEncoder("cont"); InteractionValueEncoder enc = new InteractionValueEncoder("interactions", wv, cv); Vector v1 = new DenseVector(200); enc.addInteractionToVector("a","1.0",1.0, v1); int k = enc.getProbes(); // should set k distinct locations to 1 assertEquals((float) k, v1.norm(1), 0); assertEquals(1.0, v1.maxValue(), 0); // adding same interaction again should increment weights enc.addInteractionToVector("a","1.0",1.0,v1); assertEquals((float) k*2, v1.norm(1), 0); assertEquals(2.0, v1.maxValue(), 0); Vector v2 = new DenseVector(20000); enc.addInteractionToVector("a","1.0",1.0,v2); wv.addToVector("a", v2); cv.addToVector("1.0", v2); k = enc.getProbes(); //this assumes no hash collision assertEquals((float) (k + wv.getProbes()+cv.getProbes()), v2.norm(1), 1.0e-3); }