public void Initialize(Voucher[] inVouchers, FeatureManager ftm)
{
_ftm = ftm;
var vouchers = ftm.ReadUniqueVouchers(inVouchers);
_totalVouchers = vouchers.Length;
// feature per category likellihood
_categCounts = vouchers.GroupBy(x => x.TagName).ToDictionary(x => x.Key, x => x.Count());
_featureLikellihood = vouchers.GroupBy(g => g.TagName)
.SelectMany(y =>y.SelectMany(c => _ftm.ReadFeatures(c.OcrFeatures.ToList()).Select(f=>new Tuple<string,int>(y.Key,f.Item1))))
.GroupBy(x=>x.Item1)
.ToDictionary(x=>x.Key,x=>x.GroupBy(y=>y.Item2).ToDictionary(z =>/*_ftm._featureById[*/z.Key/*]*/, z=> ((double)z.Count() + 1) / (x.Count() + _ftm._featureById.Count)));
// user per category likellihood: p(categ,user) = p(categ|user)*p(user)
int totalUsers = vouchers.Select(x => x.OrganizationId).Distinct().Count();
_userPrior = vouchers.GroupBy(x => x.OrganizationId).ToDictionary(x => x.Key, x => ((double)x.Count() + 1) / (_totalVouchers + totalUsers));
_categUserLikellihood = vouchers.GroupBy(g => g.OrganizationId)
.ToDictionary(x => x.Key, x => x.GroupBy(y => y.TagName).ToDictionary(y => y.Key, y => ((double)y.Count() + 1) / (_categCounts[y.Key] + totalUsers)));
//var tmp = vouchers.Where(x => x.OrganizationId == 3634).GroupBy(x => x.TagName).Select(x => new Tuple<string, double>(x.Key, ((double)x.Count() + 1) / (categCounts[x.Key] + totalUsers))).ToList();
}
