Update of /cvsroot/monetdb/pathfinder/modules/pftijah
In directory 23jxhf1.ch3.sourceforge.com:/tmp/cvs-serv32285/modules/pftijah
Modified Files:
Tag: M5XQ
pftijah.mx
Log Message:
propagated changes of Wednesday May 20 2009
from the development trunk to the M5XQ branch
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2009/05/20 - cornuz: modules/pftijah/pftijah.mx,1.231
Fixed some more PROC signatures after recent changes for having count() type as
wrd instead of int.
Fixed and approved accordingly Tests/test_indexmerge
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Index: pftijah.mx
===================================================================
RCS file: /cvsroot/monetdb/pathfinder/modules/pftijah/pftijah.mx,v
retrieving revision 1.226.2.3
retrieving revision 1.226.2.4
diff -u -d -r1.226.2.3 -r1.226.2.4
--- pftijah.mx 16 May 2009 08:24:04 -0000 1.226.2.3
+++ pftijah.mx 20 May 2009 15:56:25 -0000 1.226.2.4
@@ -2449,7 +2449,7 @@
# where dLH(t) = likelihood of term t in doc d
#
-PROC _score_LM(dbl q_tCnt, int c_tCnt, int cSize, BAT[oid,int] e_tCnt,
BAT[void,int] e_size) : bat[oid,dbl] {
+PROC _score_LM(dbl q_tCnt, wrd c_tCnt, wrd cSize, BAT[oid,int] e_tCnt,
BAT[void,int] e_size) : bat[oid,dbl] {
var e_tScores := e_tCnt.[dbl]().access(BAT_WRITE);
e_tScores.left_div(e_size);
e_tScores := [log](e_tScores);
@@ -2468,7 +2468,7 @@
# where cLH(t) = likelihood of term t in (background) collection c
#
-PROC _score_LMs(dbl q_tCnt, int c_tCnt, int cSize, BAT[oid,int] e_tCnt,
BAT[void,int] e_size) : bat[oid,dbl] {
+PROC _score_LMs(dbl q_tCnt, wrd c_tCnt, wrd cSize, BAT[oid,int] e_tCnt,
BAT[void,int] e_size) : bat[oid,dbl] {
var tmp1 := c_lambda * c_tCnt / dbl(cSize);
var tmp2 := dbl(1) - c_lambda;
@@ -2493,7 +2493,7 @@
# where cLH(t) = likelihood of term t in (background) collection c
#
-PROC _score_NLLR(dbl q_tCnt, dbl qSize, int c_tCnt, int cSize, BAT[oid,int]
e_tCnt, BAT[void,int] e_size) : bat[oid,dbl] {
+PROC _score_NLLR(dbl q_tCnt, dbl qSize, wrd c_tCnt, wrd cSize, BAT[oid,int]
e_tCnt, BAT[void,int] e_size) : bat[oid,dbl] {
var collFac := ((dbl(1) - c_lambda) / c_lambda) * cSize / dbl(c_tCnt);
var q_tLH := q_tCnt / qSize;
var e_tScores := e_tCnt.[dbl]().access(BAT_WRITE);
@@ -2518,7 +2518,7 @@
# where cB = tuning parameter b
#
-PROC _score_OKAPI(dbl q_tCnt, BAT[oid,int] e_tCnt, BAT[void,int] e_size, int
cNdoc, dbl cAvgDL) : bat[oid,dbl] {
+PROC _score_OKAPI(dbl q_tCnt, BAT[oid,int] e_tCnt, BAT[void,int] e_size, wrd
cNdoc, dbl cAvgDL) : bat[oid,dbl] {
# cIDF contains Robertson/Sparck-Jones relevance weight
var cIDF := e_tCnt.count_wrd(); # df
@@ -3572,7 +3572,7 @@
# documents if one or more terms have zero frequency in background-col
# which should not happen
-PROC _score_LM(int q_tCnt, wrd qSize, wrd c_tCnt, int cSize, BAT[oid,int]
e_tCnt, BAT[void,int] e_size, dbl cLambda) : bat[oid,dbl] {
+PROC _score_LM(int q_tCnt, wrd qSize, wrd c_tCnt, wrd cSize, BAT[oid,int]
e_tCnt, BAT[void,int] e_size, dbl cLambda) : bat[oid,dbl] {
var e_tScores := e_tCnt.[dbl]().access(BAT_WRITE);
e_tScores.left_div(e_size);
var tmp := e_tScores;
@@ -3593,7 +3593,7 @@
# where cLH(t) = likelihood of term t in (background) collection c
#
-PROC _score_LMs(int q_tCnt, wrd qSize, wrd c_tCnt, int cSize, BAT[oid,int]
e_tCnt, BAT[void,int] e_size, dbl cLambda) : bat[oid,dbl] {
+PROC _score_LMs(int q_tCnt, wrd qSize, wrd c_tCnt, wrd cSize, BAT[oid,int]
e_tCnt, BAT[void,int] e_size, dbl cLambda) : bat[oid,dbl] {
var tmp1 := cLambda * c_tCnt / dbl(cSize);
var tmp2 := dbl(1) - cLambda;
var e_tScores := e_tCnt.[dbl]().access(BAT_WRITE);
@@ -3618,7 +3618,7 @@
# where cLH(t) = likelihood of term t in (background) collection c
#
-PROC _score_NLLR(int q_tCnt, wrd qSize, wrd c_tCnt, int cSize, BAT[oid,int]
e_tCnt, BAT[void,int] e_size, dbl cLambda) : bat[oid,dbl] {
+PROC _score_NLLR(int q_tCnt, wrd qSize, wrd c_tCnt, wrd cSize, BAT[oid,int]
e_tCnt, BAT[void,int] e_size, dbl cLambda) : bat[oid,dbl] {
var collFac := ((dbl(1) - cLambda) / cLambda) * cSize / dbl(c_tCnt);
var q_tLH := dbl(q_tCnt) / dbl(qSize);
var e_tScores := e_tCnt.[dbl]().access(BAT_WRITE);
@@ -3643,7 +3643,7 @@
# where cB = tuning parameter b
#
-PROC _score_OKAPI(int q_tCnt, BAT[oid,int] e_tCnt, BAT[void,int] e_size, int
cNdoc, dbl cAvgDL, dbl cK1, dbl cB) : bat[oid,dbl] {
+PROC _score_OKAPI(int q_tCnt, BAT[oid,int] e_tCnt, BAT[void,int] e_size, wrd
cNdoc, dbl cAvgDL, dbl cK1, dbl cB) : bat[oid,dbl] {
# cIDF contains Robertson/Sparck-Jones relevance weight
var cIDF := e_tCnt.count_wrd(); # df
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