public void NormalizedDiscountedCumulatedGainTest()
{
nFire.Evaluators.Graded.IGainFunction[] gainFunctions = new Evaluators.Graded.IGainFunction[]{
new nFire.Evaluators.Graded.LinearGain(),
new nFire.Evaluators.Graded.ExponentialGain(2.0),
new nFire.Evaluators.Graded.ExponentialGain(3.0)};
nFire.Evaluators.Graded.IDiscountFunction[] discountFunctions = new nFire.Evaluators.Graded.IDiscountFunction[]{
new nFire.Evaluators.Graded.OriginalDiscount(2.0),
new nFire.Evaluators.Graded.OriginalDiscount(10.0),
new nFire.Evaluators.Graded.LogarithmicDiscount(2.0),
new nFire.Evaluators.Graded.LogarithmicDiscount(10.0)};
int?[] cutoffs = new int?[] { 5, 10, 15, 20, 30, 100, 200, 500, 1000, null };
double[][][] res301 = new double[][][]{
new double[][] {
new double[]{0.0000,0.0404,0.0365,0.0680,0.0794,0.1301,0.1472,0.1358,0.1358,0.1358},
new double[]{0.0000,0.0625,0.0521,0.1037,0.1167,0.1675,0.1755,0.1501,0.1501,0.1501},
new double[]{0.0000,0.0439,0.0393,0.0746,0.0867,0.1390,0.1544,0.1396,0.1396,0.1396},
new double[]{0.0000,0.0590,0.0498,0.1015,0.1156,0.1692,0.1769,0.1501,0.1501,0.1501}
},
new double[][]{
new double[]{0.0000,0.0217,0.0206,0.0392,0.0476,0.0900,0.1115,0.1188,0.1188,0.1188},
new double[]{0.0000,0.0357,0.0321,0.0662,0.0786,0.1319,0.1490,0.1426,0.1426,0.1426},
new double[]{0.0000,0.0238,0.0224,0.0437,0.0531,0.0989,0.1203,0.1249,0.1249,0.1249},
new double[]{0.0000,0.0333,0.0301,0.0638,0.0769,0.1332,0.1508,0.1434,0.1434,0.1434}
},
new double[][]{
new double[]{0.0000,0.0067,0.0066,0.0128,0.0162,0.0360,0.0512,0.0798,0.0798,0.0798},
new double[]{0.0000,0.0115,0.0110,0.0236,0.0299,0.0639,0.0849,0.1182,0.1182,0.1182},
new double[]{0.0000,0.0074,0.0072,0.0145,0.0183,0.0411,0.0578,0.0882,0.0882,0.0882},
new double[]{0.0000,0.0106,0.0102,0.0224,0.0289,0.0648,0.0870,0.1214,0.1214,0.1214}
}
};
double[][][] res302 = new double[][][]{
new double[][] {
new double[]{0.8229,0.7548,0.8052,0.8055,0.7616,0.6117,0.6273,0.6662,0.6662,0.6662},
new double[]{0.8000,0.7000,0.7932,0.7963,0.7421,0.5813,0.5990,0.6435,0.6435,0.6435},
new double[]{0.8304,0.7530,0.8085,0.8082,0.7604,0.6046,0.6209,0.6617,0.6617,0.6617},
new double[]{0.8010,0.7091,0.7962,0.7980,0.7409,0.5732,0.5922,0.6403,0.6403,0.6403}
},
new double[][]{
new double[]{0.8229,0.7548,0.8052,0.8055,0.7616,0.6117,0.6273,0.6662,0.6662,0.6662},
new double[]{0.8000,0.7000,0.7932,0.7963,0.7421,0.5813,0.5990,0.6435,0.6435,0.6435},
new double[]{0.8304,0.7530,0.8085,0.8082,0.7604,0.6046,0.6209,0.6617,0.6617,0.6617},
new double[]{0.8010,0.7091,0.7962,0.7980,0.7409,0.5732,0.5922,0.6403,0.6403,0.6403}
},
new double[][]{
new double[]{0.8229,0.7548,0.8052,0.8055,0.7616,0.6117,0.6273,0.6662,0.6662,0.6662},
new double[]{0.8000,0.7000,0.7932,0.7963,0.7421,0.5813,0.5990,0.6435,0.6435,0.6435},
new double[]{0.8304,0.7530,0.8085,0.8082,0.7604,0.6046,0.6209,0.6617,0.6617,0.6617},
new double[]{0.8010,0.7091,0.7962,0.7980,0.7409,0.5732,0.5922,0.6403,0.6403,0.6403}
}
};
double[][][] res303 = new double[][][]{
new double[][] {
new double[]{0.0000,0.0000,0.0000,0.0508,0.0508,0.2830,0.3149,0.3149,0.3149,0.3149},
new double[]{0.0000,0.0000,0.0000,0.0978,0.0978,0.5450,0.6065,0.6065,0.6065,0.6065},
new double[]{0.0000,0.0000,0.0000,0.0585,0.0585,0.3294,0.3669,0.3669,0.3669,0.3669},
new double[]{0.0000,0.0000,0.0000,0.0966,0.0966,0.5748,0.6426,0.6426,0.6426,0.6426}
},
new double[][]{
new double[]{0.0000,0.0000,0.0000,0.0508,0.0508,0.2830,0.3149,0.3149,0.3149,0.3149},
new double[]{0.0000,0.0000,0.0000,0.0978,0.0978,0.5450,0.6065,0.6065,0.6065,0.6065},
new double[]{0.0000,0.0000,0.0000,0.0585,0.0585,0.3294,0.3669,0.3669,0.3669,0.3669},
new double[]{0.0000,0.0000,0.0000,0.0966,0.0966,0.5748,0.6426,0.6426,0.6426,0.6426}
},
new double[][]{
new double[]{0.0000,0.0000,0.0000,0.0508,0.0508,0.2830,0.3149,0.3149,0.3149,0.3149},
new double[]{0.0000,0.0000,0.0000,0.0978,0.0978,0.5450,0.6065,0.6065,0.6065,0.6065},
new double[]{0.0000,0.0000,0.0000,0.0585,0.0585,0.3294,0.3669,0.3669,0.3669,0.3669},
new double[]{0.0000,0.0000,0.0000,0.0966,0.0966,0.5748,0.6426,0.6426,0.6426,0.6426}
}
};
nFire.Evaluators.Graded.NormalizedDiscountedCumulatedGain ndcg = new nFire.Evaluators.Graded.NormalizedDiscountedCumulatedGain();
for (int gainFunction = 0; gainFunction < gainFunctions.Length; gainFunction++) {
ndcg.GainFunction = gainFunctions[gainFunction];
for (int discountFunction = 0; discountFunction < discountFunctions.Length; discountFunction++) {
ndcg.DiscountFunction = discountFunctions[discountFunction];
for (int cutoff = 0; cutoff < cutoffs.Length; cutoff++) {
ndcg.Cutoff = cutoffs[cutoff];
var res = this.Task.EvaluateAllQueries<double>(this.Task.Systems["STANDARD"], ndcg);
Assert.AreEqual(res301[gainFunction][discountFunction][cutoff], res[this.Task.Queries["301"]], 0.00005);
Assert.AreEqual(res302[gainFunction][discountFunction][cutoff], res[this.Task.Queries["302"]], 0.00005);
Assert.AreEqual(res303[gainFunction][discountFunction][cutoff], res[this.Task.Queries["303"]], 0.00005);
}
}
}
}
public void DiscountedCumulatedGainTest()
{
nFire.Evaluators.Graded.IGainFunction[] gainFunctions = new Evaluators.Graded.IGainFunction[]{
new nFire.Evaluators.Graded.LinearGain(),
new nFire.Evaluators.Graded.ExponentialGain(2.0),
new nFire.Evaluators.Graded.ExponentialGain(3.0)};
nFire.Evaluators.Graded.IDiscountFunction[] discountFunctions = new nFire.Evaluators.Graded.IDiscountFunction[]{
new nFire.Evaluators.Graded.OriginalDiscount(2.0),
new nFire.Evaluators.Graded.OriginalDiscount(10.0),
new nFire.Evaluators.Graded.LogarithmicDiscount(2.0),
new nFire.Evaluators.Graded.LogarithmicDiscount(10.0)};
int?[] cutoffs = new int?[] { 5, 10, 15, 20, 30, 100, 200, 500, 1000, null };
double[][][] res301 = new double[][][]{
new double[][] {
new double[]{0, 0.7431, 0.7431, 1.4643, 1.8808, 4.6196, 7.2717, 11.1678, 11.1678, 11.1678},
new double[]{0, 2, 2, 4.3957, 5.7795, 14.8775, 23.6877, 36.6303, 36.6303, 36.6303},
new double[]{0, 0.6895, 0.6895, 1.3973, 1.8094, 4.5355, 7.1838, 11.0775, 11.0775, 11.0775},
new double[]{0, 1.6808, 1.6808, 3.7785, 5.0547, 13.8142, 22.5148, 35.3874, 35.3874, 35.3874}
},
new double[][]{
new double[]{ 0, 1.4861, 1.4861, 2.9285, 3.7616, 9.2391, 14.5434, 23.3039, 23.3039, 23.3039},
new double[]{0, 4, 4, 8.7915, 11.5589, 29.7550, 47.3755, 76.4771, 76.4771, 76.4771},
new double[]{ 0, 1.3791, 1.3791, 2.7945, 3.6189, 9.0710, 14.3677, 23.1228, 23.1228, 23.1228},
new double[]{ 0, 3.3615, 3.3615, 7.5571, 10.1094, 27.6284, 45.0297, 73.9752, 73.9752, 73.9752}
},
new double[][]{
new double[]{0, 2.2292, 2.2292, 4.3928, 5.6424, 13.8587, 21.8152, 41.8548, 41.8548, 41.8548},
new double[]{0, 6, 6, 13.1872, 17.3384, 44.6324, 71.0632, 137.6335, 137.6335, 137.6335},
new double[]{0, 2.0686, 2.0686, 4.1918, 5.4283, 13.6065, 21.5515, 41.5793, 41.5793, 41.5793},
new double[]{0, 5.0423, 5.0423, 11.3356, 15.1641, 41.4426, 67.5445, 133.7657, 133.7657, 133.7657}
}
};
double[][][] res302 = new double[][][]{
new double[][] {
new double[]{8.7920, 11.8990, 15.9695, 18.8792, 22.7556, 33.4611, 34.3113, 36.4429, 36.4429, 36.4429},
new double[]{12, 21, 34.5221, 44.1876, 57.0648, 92.6277, 95.4522, 102.5330, 102.5330, 102.5330},
new double[]{7.3454, 10.2635, 14.2168, 17.0706, 20.8997, 31.5460, 32.3950, 34.5255, 34.5255, 34.5255},
new double[]{11.1914, 18.5703, 29.7565, 38.1916, 49.9360, 83.9421, 86.7289, 93.7784, 93.7784, 93.7784}
},
new double[][]{
new double[]{23.4454, 31.7306, 42.5854, 50.3444, 60.6815, 89.2295, 91.4969, 97.1810, 97.1810, 97.1810},
new double[]{32, 56, 92.0590, 117.8337, 152.1728, 247.0071, 254.5393, 273.4214, 273.4214, 273.4214},
new double[]{19.5877, 27.3693, 37.9116, 45.5216, 55.7325, 84.1228, 86.3867, 92.0679, 92.0679, 92.0679},
new double[]{29.8437, 49.5207, 79.3506, 101.8443, 133.1626, 223.8455, 231.2769, 250.0758, 250.0758, 250.0758}
},
new double[][]{
new double[]{79.1283, 107.0908, 143.7259, 169.9124, 204.8002, 301.1495, 308.8021, 327.9859, 327.9859, 327.9859},
new double[]{108, 189, 310.6990, 397.6888, 513.5833, 833.6489, 859.0701, 922.7974, 922.7974, 922.7974},
new double[]{66.1084, 92.3714, 127.9516, 153.6354, 188.0970, 283.9144, 291.5551, 310.7293, 310.7293, 310.7293},
new double[]{100.7226, 167.1325, 267.8084, 343.7245, 449.4239, 755.4785, 780.5597, 844.0060, 844.0060, 844.0060}
}
};
double[][][] res303 = new double[][][]{
new double[][] {
new double[]{0, 0, 0, 0.4708, 0.4708, 2.6248, 2.9214, 2.9214, 2.9214, 2.9214},
new double[]{0, 0, 0, 1.5640, 1.5640, 8.7192, 9.7048, 9.7048, 9.7048, 9.7048},
new double[]{0, 0, 0, 0.4628, 0.4628, 2.6047, 2.9008, 2.9008, 2.9008, 2.9008},
new double[]{0, 0, 0, 1.3820, 1.3820, 8.2208, 9.1895, 9.1895, 9.1895, 9.1895}
},
new double[][]{
new double[]{0, 0, 0, 0.9416, 0.9416, 5.2495, 5.8428, 5.8428, 5.8428, 5.8428},
new double[]{0, 0, 0, 3.1280, 3.1280, 17.4385, 19.4095, 19.4095, 19.4095, 19.4095},
new double[]{0, 0, 0, 0.9255, 0.9255, 5.2094, 5.8016, 5.8016, 5.8016, 5.8016},
new double[]{0, 0, 0, 2.7640, 2.7640, 16.4415, 18.3791, 18.3791, 18.3791, 18.3791}
},
new double[][]{
new double[]{0, 0, 0, 2.1187, 2.1187, 11.8114, 13.1464, 13.1464, 13.1464, 13.1464},
new double[]{0, 0, 0, 7.0381, 7.0381, 39.2366, 43.6714, 43.6714, 43.6714, 43.6714},
new double[]{0, 0, 0, 2.0824, 2.0824, 11.7212, 13.0535, 13.0535, 13.0535, 13.0535},
new double[]{0, 0, 0, 6.2191, 6.2191, 36.9934, 41.3529, 41.3529, 41.3529, 41.3529}
}
};
nFire.Evaluators.Graded.DiscountedCumulatedGain dcg = new nFire.Evaluators.Graded.DiscountedCumulatedGain();
for (int gainFunction = 0; gainFunction < gainFunctions.Length; gainFunction++) {
dcg.GainFunction = gainFunctions[gainFunction];
for (int discountFunction = 0; discountFunction < discountFunctions.Length; discountFunction++) {
dcg.DiscountFunction = discountFunctions[discountFunction];
for (int cutoff = 0; cutoff < cutoffs.Length; cutoff++) {
dcg.Cutoff = cutoffs[cutoff];
var res = this.Task.EvaluateAllQueries<double>(this.Task.Systems["STANDARD"], dcg);
Assert.AreEqual(res301[gainFunction][discountFunction][cutoff], res[this.Task.Queries["301"]], 0.00005);
Assert.AreEqual(res302[gainFunction][discountFunction][cutoff], res[this.Task.Queries["302"]], 0.00005);
Assert.AreEqual(res303[gainFunction][discountFunction][cutoff], res[this.Task.Queries["303"]], 0.00005);
}
}
}
}
