|
public Build ( |
||
| other | ||
| Результат | void | |
public static List<string> ExecuteKNRSEQ(IndexArgumentSetup setup, string nick, int numrefs, int k, double maxcand_ratio)
{
var idxname = String.Format ("{0}/Index.knrseq-{1}-{2}", nick, numrefs, k);
MetricDB db = SpaceGenericIO.Load (setup.BINARY_DATABASE);
Index idx;
var suffix = "";
var resnamelist = new List<string> ();
if (!File.Exists (idxname)) {
Console.WriteLine ("*** creating index {0}", idxname);
var s = DateTime.Now.Ticks;
var c = db.NumberDistances;
var IDX = new KnrSeqSearch ();
var refsDB = new SampleSpace("", db, numrefs);
var refsIDX = new EPTable ();
refsIDX.Build(refsDB, 4, (_db, _rand) => new EPListOptimizedA(_db, 4, _rand));
if (k == 0) {
k = KnrEstimateParameters.EstimateKnrEnsuringSharedNeighborhoods (db, refsIDX, (int)Math.Abs (setup.QARG));
suffix = String.Format ("estimated-K={0}.", k);
}
IDX.Build (db, refsIDX, k, int.MaxValue);
SaveConstructionTime (idxname, DateTime.Now.Ticks - s, db.NumberDistances - c);
IndexGenericIO.Save (idxname, IDX);
idx = IDX;
} else {
Console.WriteLine ("*** loading index {0}", idxname);
idx = IndexGenericIO.Load (idxname);
if (k == 0) {
var _idx = idx as KnrSeqSearch;
suffix = String.Format ("estimated-K={0}.", _idx.K);
}
}
string resname;
// PPIndex
resname = GetResultName (nick, idxname, setup, String.Format(suffix + "maxcand={0}.PPI", maxcand_ratio));
resnamelist.Add(resname);
if (!File.Exists (resname)) {
var knr = idx as KnrSeqSearch;
knr.MAXCAND = (int)(idx.DB.Count * maxcand_ratio);
PerformSearch (resname, knr, idxname, setup);
}
// KnrSeqSearchCosine
resname = GetResultName (nick, idxname, setup, String.Format(suffix + "maxcand={0}.COS", maxcand_ratio));
resnamelist.Add(resname);
if (!File.Exists (resname)) {
var knr = new KnrSeqSearchCosine(idx as KnrSeqSearch);
knr.MAXCAND = (int)(idx.DB.Count * maxcand_ratio);
PerformSearch (resname, knr, idxname, setup);
}
// KnrSeqSearchFootrule
resname = GetResultName (nick, idxname, setup, String.Format(suffix + "maxcand={0}.FOOTRULE", maxcand_ratio));
resnamelist.Add(resname);
if (!File.Exists (resname)) {
var knr = new KnrSeqSearchFootrule(idx as KnrSeqSearch);
knr.MAXCAND = (int)(idx.DB.Count * maxcand_ratio);
PerformSearch (resname, knr, idxname, setup);
}
// KnrSeqSearchJaccLCS
resname = GetResultName (nick, idxname, setup, String.Format(suffix + "maxcand={0}.JACCLCS", maxcand_ratio));
resnamelist.Add(resname);
if (!File.Exists (resname)) {
var knr = new KnrSeqSearchJaccLCS(idx as KnrSeqSearch);
knr.MAXCAND = (int)(idx.DB.Count * maxcand_ratio);
PerformSearch (resname, knr, idxname, setup);
}
// KnrSeqSearchLCSv3
resname = GetResultName (nick, idxname, setup, String.Format(suffix + "maxcand={0}.LCSv3", maxcand_ratio));
resnamelist.Add(resname);
if (!File.Exists (resname)) {
var knr = new KnrSeqSearchLCSv3(idx as KnrSeqSearch);
knr.MAXCAND = (int)(idx.DB.Count * maxcand_ratio);
PerformSearch (resname, knr, idxname, setup);
}
// NAPP
foreach (var ksearch in setup.KNR_KSEARCH) {
var knr = new NAPP(idx as KnrSeqSearch);
knr.MAXCAND = (int)(idx.DB.Count * maxcand_ratio);
resname = GetResultName (nick, idxname, setup, String.Format(suffix + "maxcand={0}.NAPP.ksearch={1}", maxcand_ratio, ksearch));
resnamelist.Add(resname);
if (!File.Exists (resname)) {
PerformSearch (resname, knr, idxname, setup);
}
}
return resnamelist;
}
public void Test(string nick, MetricDB db, string queries, int num_centers, int num_perms, int num_refs)
{
var qstream = new QueryStream (queries);
var reslist = new List<string> ();
// Exhaustive search
{
Sequential seq = new Sequential ();
seq.Build (db);
var idxname = "Index.Sequential." + nick;
IndexGenericIO.Save (idxname, seq);
var resname = "Res." + idxname + "." + queries;
if (!File.Exists (resname)) {
Commands.Search (seq, qstream.Iterate (), new ShellSearchOptions (queries, idxname, resname));
}
reslist.Add (resname);
}
///
/// The List of Clusters and variants
///
// LC_RNN
reslist.Add (this.TestLC ("Index.LC_RNN." + nick, db, num_centers, new LC_RNN (), queries, qstream));
// LC
reslist.Add (this.TestLC ("Index.LC." + nick, db, num_centers, new LC (), queries, qstream));
// LC_IRNN
reslist.Add (this.TestLC ("Index.LC_IRNN." + nick, db, num_centers, new LC_IRNN (), queries, qstream));
// LC_PRNN
reslist.Add (this.TestLC ("Index.LC_PRNN." + nick, db, num_centers, new LC_PRNN (), queries, qstream));
// LC_ParallelBuild
reslist.Add (this.TestLC ("Index.LC_ParallelBuild." + nick, db, num_centers, new LC_ParallelBuild (), queries, qstream));
///
/// Permutation Based Indexes
///
// Permutations
reslist.Add (this.TestPI ("Index.Perms." + nick, db, num_perms, new Perms (), queries, qstream));
// Brief Index
reslist.Add (this.TestPI ("Index.BinPerms." + nick, db, num_perms, new BinPerms (), queries, qstream));
// BinPermsTwoBits
reslist.Add (this.TestPI ("Index.BinPermsTwoBits." + nick, db, num_perms, new BinPermsTwoBit (), queries, qstream));
///
/// KNR
///
{
KnrSeqSearch idx;
var idxname = "Index.KnrSeqSearch." + nick;
if (File.Exists (idxname)) {
idx = (KnrSeqSearch)IndexGenericIO.Load (idxname);
} else {
Console.WriteLine ("** Starting construction of '{0}'", idxname);
var knr = new KnrSeqSearch ();
var sample = RandomSets.GetRandomSubSet (num_refs, db.Count);
var refsdb = new SampleSpace ("", db, sample);
var refsidx = new LC ();
refsidx.Build (refsdb, refsdb.Count / 10);
knr.Build (db, refsidx, 7);
IndexGenericIO.Save (idxname, knr);
idx = knr;
}
idx.MAXCAND = 1024;
this.TestKNR(idx, idxname, queries, num_refs, reslist, (I) => I);
Console.WriteLine ("==== Working on a permuted space");
idxname = idxname + ".proximity-sorted";
if (!File.Exists(idxname)) {
idx = idx.GetSortedByPrefix();
idx.MAXCAND = 1024;
IndexGenericIO.Save(idxname, idx);
} else {
idx = (KnrSeqSearch)IndexGenericIO.Load(idxname);
}
this.TestKNR(idx, idxname, queries, num_refs, reslist, (I) => new PermutedIndex(I));
}
reslist.Add("--horizontal");
Commands.Check(reslist);
}
public void BuildApprox(MetricDB db, Random rand, int num_refs, int K=7, int maxcand=1024, SequenceBuilder seq_builder = null)
{
var sample = new SampleSpace ("", db, num_refs);
var inner = new KnrSeqSearch ();
inner.Build (sample, rand, 1024, K, int.MaxValue);
this.Build (db, new KnrSeqSearchFootrule(inner), K, maxcand, seq_builder);
}