public void RankingMetricsNonPerfectTest()
{
double[] ndcg = { 0.2, 0.3, 0.4 };
double[] dcg = { 0.2, 0.3, 0.4 };
var metrics = MetricsUtil.CreateRankingMetrics(dcg, ndcg);
Assert.False(IsPerfectModel(metrics, RankingMetric.Dcg, 3));
Assert.False(IsPerfectModel(metrics, RankingMetric.Ndcg, 3));
}
public void RankingMetricsPerfectTest()
{
double[] ndcg = { 0.2, 0.3, 1 };
double[] dcg = { 0.2, 0.3, 1 };
var metrics = MetricsUtil.CreateRankingMetrics(dcg, ndcg);
Assert.False(IsPerfectModel(metrics, RankingMetric.Dcg, 3)); //REVIEW: No true Perfect model
Assert.True(IsPerfectModel(metrics, RankingMetric.Ndcg, 3));
}
public void RankingMetricsGetScoreTest()
{
double[] ndcg = { 0.2, 0.3, 0.4 };
double[] dcg = { 0.2, 0.3, 0.4 };
var metrics = MetricsUtil.CreateRankingMetrics(dcg, ndcg);
Assert.Equal(0.4, GetScore(metrics, RankingMetric.Dcg, 3));
Assert.Equal(0.4, GetScore(metrics, RankingMetric.Ndcg, 3));
double[] largeNdcg = { 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.85, 0.9, 0.95 };
double[] largeDcg = { 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.85, 0.9, 0.95 };
metrics = MetricsUtil.CreateRankingMetrics(largeDcg, largeNdcg);
Assert.Equal(0.3, GetScore(metrics, RankingMetric.Dcg, 3));
Assert.Equal(0.3, GetScore(metrics, RankingMetric.Ndcg, 3));
}
