Displaying 3 results from an estimated 3 matches for "termgroup".
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itemgroup
2010 Oct 28
1
hypens in words + NEAR + 3 terms + AND_MAYBE => crash
...TEM_SOME);
$qp->set_default_op(OP_AND_MAYBE);
$query_string = " x-y NEAR test NEAR test ";
my $query = $qp->parse_query($query_string, Search::Xapian::FLAG_DEFAULT);
[...]
Here's a gdb backtrace for a crash:
Program received signal SIGSEGV, Segmentation fault.
~TermGroup (yypParser=0x2b58170, yymajor=<value optimized out>,
yypminor=0x386a7f8) at queryparser/queryparser.lemony:1265
1265 delete *i;
Current language: auto; currently c++
(gdb) bt
#0 ~TermGroup (yypParser=0x2b58170, yymajor=<value optimized out>,
yypminor=0x386a7f8...
2012 Jun 29
0
Adding Bi-gram in the QueryParser and Object.
...rms can be treated as bi-grams as they are terms which
must exist together.*(Bigram can be added)*
Implementation is similar to Near,adj.
*Group: *A group of term separated only by white-spaces.*(Bigram can be
added)*
*
*
*Implementation:*
Since the all terms detected as group are added to class *TermGroup* so
when we ask for Query from the Class *TermGroup *using as_group_query then
while parsing terms we can just add the bigrams while iterating list of
terms.
*Wild:*
*Partial:*
*Synonym:*
**This is expanding which follow the pattern,synonym of term.It will pull
out lot of similar terms and form a...
2012 Mar 30
3
ff usage for glm
Greetings useRs,
Can anyone provide an example how to use ff to feed a very large data frame to glm?
The data.frame cannot be loaded in R using conventional read.csv as it is too big.
glm(...,data=ff.file) ??
Thank you
Stephen B