@Test
public void testTrainError() {
FeatureInfo.Builder bld = new FeatureInfo.Builder(5);
bld.setItemAverage(1).setUserAverage(2).setSingularValue(3);
bld.addTrainingRound(0.990).addTrainingRound(0.985);
FeatureInfo info = bld.build();
assertThat(info, notNullValue());
assertThat(info.getFeature(), equalTo(5));
assertThat(info.getItemAverage(), equalTo(1.0));
assertThat(info.getUserAverage(), equalTo(2.0));
assertThat(info.getSingularValue(), equalTo(3.0));
assertThat(info.getIterCount(), equalTo(2));
assertThat(info.getTrainingErrors(), hasSize(2));
assertThat(info.getLastRMSE(), closeTo(0.985, 1.0e-5));
assertThat(info.getLastDeltaRMSE(), closeTo(0.005, 1.0e-5));
}
@Test
public void testBasic() {
FeatureInfo.Builder bld = new FeatureInfo.Builder(1);
bld.setItemAverage(1).setUserAverage(2).setSingularValue(3);
FeatureInfo info = bld.build();
assertThat(info, notNullValue());
assertThat(info.getIterCount(), equalTo(0));
assertThat(info.getTrainingErrors(), hasSize(0));
assertThat(info.getFeature(), equalTo(1));
assertThat(info.getItemAverage(), equalTo(1.0));
assertThat(info.getUserAverage(), equalTo(2.0));
assertThat(info.getSingularValue(), equalTo(3.0));
}