public RegressionModel Train(BaseVector[] x, float[] y, IGroupDataProvider data)
{
if (ranker == null || nfeatures >= x[0].Length)
{
return(regressionMethod.Train(x, y, regressionParam, 1));
}
int[] o = ranker.Rank(x, y, rankerParam, data, 1);
int[] inds = nfeatures < o.Length ? ArrayUtils.SubArray(o, nfeatures) : o;
return
(new RegressionOnSubFeatures(
regressionMethod.Train(ClassificationWithRanking.ExtractFeatures(x, inds), y, regressionParam, 1), inds));
}
public RegressionModel[] Train(BaseVector[] x, float[] y, IGroupDataProvider data)
{
int[] o = ranker.Rank(x, y, rankerParam, data, 1);
int[] sizes = GetSizes(x[0].Length, reductionFactor, maxFeatures);
RegressionModel[] result = new RegressionModel[sizes.Length];
for (int i = 0; i < result.Length; i++)
{
if (i == 0 && sizes[0] == x[0].Length)
{
result[0] = classifier.Train(x, y, classifierParam, 1);
}
else
{
int[] inds = ArrayUtils.SubArray(o, sizes[i]);
result[i] =
new RegressionOnSubFeatures(
classifier.Train(ClassificationWithRanking.ExtractFeatures(x, inds), y, classifierParam, 1), inds);
}
}
return(result);
}