similar to: Remote database & local database, and adding new weight found vtable error

Hi, While searching for a project which matches my interest andskill level, I found this project named Matcher Optimization. This project is really challenging and excting from my view point and I would like to be a part of this project. Optimization techniques metioned in the reference links provided will take some time for me to have a good understanding about them. But I am trying to get my

On Wed, Feb 19, 2020 at 10:23:09AM +0000, Eric Wong wrote: > Btw, is there a way to quickly figure out which sub-DB a retrieved > document or mset item belongs to? Yes: https://trac.xapian.org/wiki/FAQ/MultiDatabaseDocumentID 1.4.12 added a Database::size() method which reports the number of shards - for older versions you have to keep track of that yourself (which needs a little care as

Olly Betts <olly at survex.com> wrote: > On Wed, Feb 19, 2020 at 10:23:09AM +0000, Eric Wong wrote: > > Btw, is there a way to quickly figure out which sub-DB a retrieved > > document or mset item belongs to? > > Yes: https://trac.xapian.org/wiki/FAQ/MultiDatabaseDocumentID > > 1.4.12 added a Database::size() method which reports the number of > shards - for

Philipp Benner reported a Debian bug report against r-cran-rpart aka rpart. In short, the issue has to do with how rpart evaluates a formula and supporting arguments, in particular 'weights'. A simple contrived example is ----------------------------------------------------------------------------- library(rpart) ## using data from help(rpart), set up simple example myformula <-

Hello, I can't figure out why using and not using weights in mlogit yields identical results. My motivation is for the case when an "observation" or "individual" represents a number of individuals. For example, library(mlogit) library(AER) data("TravelMode", package = "AER") TM <- mlogit.data(TravelMode, choice = "choice", shape =

Hello! I wrote a code that works, but it looks ugly to me - it's full of loops. I am sure there is a much more elegant and shorter way to do it. Thanks a lot for any hints! Dimitri # I have a data frame: x<-data.frame(group=c("group1","group2","group1","group2"), myweight=c(0.4,0.6,0.4,0.6),

Olly Betts <olly at survex.com> wrote: > On Sat, Feb 08, 2020 at 06:04:42PM +0000, Eric Wong wrote: > > Olly Betts <olly at survex.com> wrote: > > > On Fri, Feb 07, 2020 at 09:33:08PM +0000, Eric Wong wrote: > > > > Or would I fiddle with wdf_inc for all ->index_text and ->add_term > > > > calls on a per-DB basis? > > > >

So, I was looking for a setup that would allow me to easily query multiple databases and not have to re-write my customer finder type queries. Here is what I came up with and it seems to be working for me in my very basic tests so I thought I''d share. Just posting it in case this helps anyone else trying to do the same thing. I''m using this with activerecord, but not rails, so

Sorry if this is the wrong forum to discuss Search::Xapian issues -- this just seems like the best place.. Anyways, I've been testing out using $db->add_database() when searching, and it seems like the docids I'm getting out of it are incorrect, almost as though they're "double" what they should be (numerically)... the docids that exist should be around 950,000 and

Hey all, I've been using ->add_database for a few years to tie sharded DBs together and it works great. Now, I want to be able to search across several DBs which aren't sharded, say: linux-DB, glibc-DB, freebsd-DB. I want to search for something across all of them, but prioritize results to favor one or some of those DBs over others. Is there a way to do that without reindexing? Or

# Just when I thought I had the basic stuff mastered.... # This has been quite perplexing, thanks for any help ## Here's the example: db1=data.frame( olditems=c('soup','','','','nuts'), prices=c(4.45, 3.25, 4.42, 2.25, 3.98)) db2=data.frame( newitems=c('stew','crackers','tofu','goatsmilk','peanuts'))

Hi, I have a number of spatial weight files and using Roger Bivand's spdep, I would like to 1. Convert them into neighbor lists using 2. Convert the neighbor lists into spatial weights For a given file, the syntax would be mygal_nb1 <- read.gal("mygalfile1", override.id = TRUE) myweight1 <- nb2listw(mygal_nb1) I have mygalfile[i] with i from 1 through to 6 and would like to

Hi R users: I found that I cannot stack() a data.frame with factors. db1<-data.frame(replicate(6,factor(sample(c("A","B"),6,replace=TRUE)))) str(db1) db2<-stack(db1) db2 "db2" does not have any row. How can I stack them by the variables X1,X2,...,X6? Thank you for your help. Kenneth

Hello guys.As discussed on IRC,I have sent a pull request for a test for testing TradWeight with an Rset. On Fri, Mar 1, 2013 at 5:30 PM, <xapian-devel-request at lists.xapian.org>wrote: > Send Xapian-devel mailing list submissions to > xapian-devel at lists.xapian.org > > To subscribe or unsubscribe via the World Wide Web, visit >

Hello guys. Olly had pointed out on IRC that there is no test for using the TradWeight scheme with a Rset and had directed me to the test coverage of the TradWeight scheme :- http://lcov.xapian.org/latest/weight/tradweight.cc.gcov.html I have added a test to api_anydb.cc which tests the TradWeight scheme using an Rset . I simply modified the rset2 test in api_anydb.cc so that the Mset is made

I have the following setup: Databases: /var/lib/xapian-omega/data/db1 /var/lib/xapian-omega/data/db2 /var/lib/xapian-omega/data/db3 Stub: /var/lib/xapian-omega/data/default The stub file "default" is a text file that contains the following: auto /var/lib/xapian-omega/data/db1 auto /var/lib/xapian-omega/data/db2 auto /var/lib/xapian-omega/data/db3 Using the following returns nothing:

Greetings, I would like to know how one can identify if a DomU is PV or HVM? Any docs which may indicate a way to find out? I have a CentOS 5.5 64bit DomU which might be HVM - how can this DomU can be made PV? Just stop the DomU, and then delete it using Virtual Machine Manager and the create another config file for a PV DomU and use xm new and then xm start? Let''s say I have a config

I'm planning to add multiple-database support for searches to my "Xappy" python wrapper (more on this wrapper later, but for now, see http://code.google.com/p/xappy for details). This is reasonably straightforward, because Xapian supports this nicely: except that "Xappy" generates a "fieldname->prefix" mapping automatically. The prefix which corresponds

Hello, I need some advice on having rsync automatically create directories on the destination server I have the following directory structure: source host: /home/user1/ /home/user2/ etc. /var/lib/mysql/db1 /var/lib/mysql/db2 etc. On the destination host (host_name) I have: /home/backups/host_name/ and I want to backup the source host to this dir so that at the end of the backup I have:

Hi, I think I have identified a inaccuracy in dchisq when the non-centrality parameter is non-zero and large. Here's a little test: sys.dchisq.test <- function(N = 100000,mean = 0) { z <- rnorm(N,mean = mean, sd = 1) x <- z^2 xmin <- min(x) xmax <- max(x) br <- seq(xmin,xmax,length = 101) dbr <- br[2]-br[1] hist(x,br) p <- dchisq(br,df = 1,ncp =