X-Git-Url: http://lists.indexdata.com/cgi-bin?a=blobdiff_plain;f=src%2Frelevance.c;h=4cbf7f2e26e8df21b6da654720e18a18a489a03b;hb=1b2621985f8d74b4d093f780fb952ee3d032c87d;hp=9de591f085ea43ba070316fcf8c2dbb14462b5af;hpb=fb1ba03adf3d800d2b40e7f0d6ea367e6c520356;p=pazpar2-moved-to-github.git diff --git a/src/relevance.c b/src/relevance.c index 9de591f..4cbf7f2 100644 --- a/src/relevance.c +++ b/src/relevance.c @@ -155,7 +155,6 @@ static void setup_norm_record( struct relevance *rel, struct record_cluster *cl { struct record_metadata *md = record->metadata[norm->scorefield]; rp->score = md->data.fnumber; - assert(rp->score>0); // ### } yaz_log(YLOG_LOG,"Got score for %d/%d : %f ", norm->num, record->position, rp->score ); @@ -187,14 +186,18 @@ static double squaresum( struct norm_record *rp, double a, double b) return sum; } +// For each client, normalize scores static void normalize_scores(struct relevance *rel) { - // For each client, normalize scores + const int maxiterations = 1000; + const double enough = 1000.0; // sets the number of decimals we are happy with + const double stepchange = 0.5; // reduction of the step size when finding middle + // 0.5 sems to be magical, much better than 0.4 or 0.6 struct norm_client *norm; for ( norm = rel->norm; norm; norm = norm->next ) { - yaz_log(YLOG_LOG,"Normalizing client %d: scorefield=%d count=%d", - norm->num, norm->scorefield, norm->count); + yaz_log(YLOG_LOG,"Normalizing client %d: scorefield=%d count=%d range=%f %f", + norm->num, norm->scorefield, norm->count, norm->min, norm->max); norm->a = 1.0; // default normalizing factors, no change norm->b = 0.0; if ( norm->scorefield != scorefield_none && @@ -205,56 +208,86 @@ static void normalize_scores(struct relevance *rel) double a,b; // params to optimize double as,bs; // step sizes double chi; + char *branch = "?"; // initial guesses for the parameters if ( range < 1e-6 ) // practically zero range = norm->max; a = 1.0 / range; b = abs(norm->min); - as = a / 3; - bs = b / 3; + as = a / 10; + bs = b / 10; chi = squaresum( norm->records, a,b); - while (it++ < 100) // safeguard against things not converging + while (it++ < maxiterations) // safeguard against things not converging { - // optimize a - double plus = squaresum(norm->records, a+as, b); - double minus= squaresum(norm->records, a-as, b); - if ( plus < chi && plus < minus ) + double aplus = squaresum(norm->records, a+as, b); + double aminus= squaresum(norm->records, a-as, b); + double bplus = squaresum(norm->records, a, b+bs); + double bminus= squaresum(norm->records, a, b-bs); + double prevchi = chi; + if ( aplus < chi && aplus < aminus && aplus < bplus && aplus < bminus) { a = a + as; - chi = plus; + chi = aplus; + as = as * (1.0 + stepchange); + branch = "aplus "; } - else if ( minus < chi && minus < plus ) + else if ( aminus < chi && aminus < aplus && aminus < bplus && aminus < bminus) { a = a - as; - chi = minus; + chi = aminus; + as = as * (1.0 + stepchange); + branch = "aminus"; } - else - as = as / 2; - // optimize b - plus = squaresum(norm->records, a, b+bs); - minus= squaresum(norm->records, a, b-bs); - if ( plus < chi && plus < minus ) + else if ( bplus < chi && bplus < aplus && bplus < aminus && bplus < bminus) { b = b + bs; - chi = plus; + chi = bplus; + bs = bs * (1.0 + stepchange); + branch = "bplus "; } - else if ( minus < chi && minus < plus ) + else if ( bminus < chi && bminus < aplus && bminus < bplus && bminus < aminus) { b = b - bs; - chi = minus; + chi = bminus; + branch = "bminus"; + bs = bs * (1.0+stepchange); } else - bs = bs / 2; - yaz_log(YLOG_LOG,"Fitting it=%d: a=%f / %f b=%f / %f chi = %f", - it, a, as, b, bs, chi ); + { // a,b is the best so far, adjust one step size + // which one? The one that has the greatest effect to chi + // That is, the average of plus and minus is further away from chi + double adif = 0.5 * ( aplus + aminus ) - prevchi; + double bdif = 0.5 * ( bplus + bminus ) - prevchi; + if ( fabs(adif) > fabs(bdif) ) + { + as = as * ( 1.0 - stepchange); + branch = "step a"; + } + else + { + bs = bs * ( 1.0 - stepchange); + branch = "step b"; + } + } + yaz_log(YLOG_LOG,"Fitting %s it=%d: a=%f %f b=%f %f chi=%f ap=%f am=%f, bp=%f bm=%f p=%f", + branch, it, a, as, b, bs, chi, + aplus, aminus, bplus, bminus, prevchi ); norm->a = a; norm->b = b; - if ( abs(as) * 1000.0 < abs(a) && - abs(bs) * 1000.0 < abs(b) ) + if ( fabs(as) * enough < fabs(a) && + fabs(bs) * enough < fabs(b) ) { break; // not changing much any more + + } } + yaz_log(YLOG_LOG,"Fitting done: it=%d: a=%f / %f b=%f / %f chi = %f", + it-1, a, as, b, bs, chi ); + yaz_log(YLOG_LOG," a: %f < %f %d", + fabs(as)*enough, fabs(a), (fabs(as) * enough < fabs(a)) ); + yaz_log(YLOG_LOG," b: %f < %f %d", + fabs(bs)*enough, fabs(b), (fabs(bs) * enough < fabs(b)) ); } - + if ( norm->scorefield != scorefield_none ) { // distribute the normalized scores to the records struct norm_record *nr = norm->records;