similar to: Two problems with Samba in AD realm

Hello list. I once had a samba server acting as a PDC, a mapping between my NT 'Domain admins' and Unix 'admins' groups, and everything worked perfectly. Now I got a new shiny samba server acting as a print server only, member of an AD domain, and I can't have the members of 'Domain admins' group manage printing drivers on the server, whereas the Administrator

Hello. I have a print server member of an AD domain, and my users are autenthicated through an external kerberos domain. My samba server FQDN is 'etoile.msr-inria.inria.fr', and has 'cups.msr-inria.inria.fr' as DNS alias. For foreign visitors, everything works fine: when attempting to reach \\cups, samba immediatly detect from given credentials than user comes from an

Hello list. I have a perfectly working PV host, with this configuration: kernel = "/boot/vmlinuz-2.6.18.8-xen-3.3.0-7mdv" ramdisk = "/boot/initrd-2.6.18.8-xen-3.3.0-7mdv.img" root = "/dev/sda1 ro" extra = "(hd0)/boot/grub/menu.lst" memory = 256 maxmem = 512 name = "sexonthebeach" uuid = "f36962f5-0dec-4708-84a0-f5b4dea48d34" disk = [

xend crashes at startup with following stack trace: ... File "/usr/lib64/python/xen/xend/XendPIF.py", line 68, in linux_get_phy_ifaces phy_ifaces.append((name, int(mtu), bridged_mac)) UnboundLocalError: local variable ''bridged_mac'' referenced before assignment The simple patch attached below prevent the crash, and allow xend to start normally. It seems the crash

Hello. There was a slight change in stubdom makefile from 3.3 to 3.3.1, in order to use non-localised gcc output: GCC_INSTALL = $(shell LANG=C gcc -print-search-dirs | sed -n -e ''s/install: \(.*\)/\1/p'') However, this is still unsuffient to just set LANG: [guillomovitch@n2 xen]$ LANG=C gcc -print-search-dirs | sed -n -e ''s/install: \(.*\)/\1/p'' At least on

Hola, Acabo de calcular tf-idf y me surge una duda. ¿Habría un valor de idf o tf-idf que se considerara como umbral para establecer que una palabra es muy común o no? Los valores de idf en mis datos van entre 0 y 3.78 y los de tf-idf ente 0 y 0.07. Un saludo El Mar, 28 de Abril de 2020, 12:53, Carlos Ortega escribió: > Hola, > Yo de primeras los quitaría para qué otros topics aparecen.

df is a very large data frame with arrival estimates for many flights (DF$flightfact) at random times (df$PredTime). The error of the estimate is df$dt. My problem is that I want to know the prediction error at each minute before landing. This code works, but is very slow, and dominates everything. I tried using split(), but that rapidly ate up my 12 GB of memory. So, is there a better R way of

Hi, I''m confused about managing field boosting ... I have set the :boost for the :name field in my docs to 10, via :boost => 10 Then I performed a search for ''keith'' over all fields via with *:(keith*), expecting a doc with Keith in the :name field to come out on top. But another doc with Keith mentioned in other fields (:comments, :address) scored higher. I

Dear R users,I'm a new user of R. I'm trying to do a LM test an there is this type of error: Error in t(mX) %*% mX : requires numeric/complex matrix/vector arguments. To be clear I write down the code in which mY ( 126,1 ) mX (126,1) mZ(126,1) are matrix. LMTEST <- function(mY, mX, mZ)#mY, mX, mZ must be matrices!#returns the LM test statistic and the degree of freedom{iT =

Hello guys.I just read up about tf-idf schemes and want to implement it in Xapian (with some frequently used normalizations) as it will also give me a good hang of implementing a weighting scheme before I start working on implementing DFR schemes. I read the following as references and I think Ive understood it well and can write the hack :- 1.)

Hello, I'm Shivang Bansal, a 3rd year Computer Science Engineering undergraduate at Institute of Engineering & Technology in Lucknow, India. This mail is an expression of my interest for Google Summer of Code program of this year. I want to apologize for getting in so late. Actually I would have contacted earlier, but sudden demise of my Grandfather disabled me in doing so. I am

Hello list. Heimdal documentation still refers to Windows 2000 for Kerberos compatibility issues. Is there anything more recent somewhere, considering Windows 2003 and 2008, for instance ? In particular, I'm quite curious to know if, when using a ldap-backend for heimdal, I could just copy my kerberos password attributes into the AD server, provided I'm using compatible encryptions,

Tf-idf is most used used weighting scheme is easy to understand and has been used in other frameworks like lucene and many other places. okapi bm25(implemented in xapian) is theoretically better/improved measure than tf-idf and i am looking into various other weighting scheme which are there in xapian or can be implemented like TF-ICF(term frequecy inverse corpus frequency),TF-RF(term

Hello, Thanks James for the reply. That cleared a few things out. Apologies for replying late because of exams going on. I was going through the previous clustering API to understand how it worked and it seems like the the approach for construction of the termlists which are used for distance metrics use TF-IDF weighting with cosine similarity, which is very similar to the approach I would need

Hello R people I now know how to run my discriminant analysis with the lda function in MASS: lda.alain=lda(Groupes ~ Ht.D0 + Lc.Dc + Ram + IDF, gr, CV = FALSE) and it works fine. But I am missing a test and cannot find any help on how to get it, if it exist. The "S" equivalent: discrim(structure(.Data = Groupes ~ Ht.D0 + Lc.Dc + Ram + IDF, class = "formula"), data = gr,

Hi Minas, Basically, you should not have any difference between the two projects :) (it's not really the case, but we are working on this problem). To explain (sorry for my long email!), I work for a french research institution (Inria) and, as we have an Inria research project around VMKit, I had to create a repository inside my institution (a researcher has always to make his institution

Hi, Evaluation of pivoted normalization ("PPP") of tf-idf weighting scheme is also complete now. I have also evaluated the default tf-idf normalization ("ntn") and other normalizations combinations involving pivoted normalization in wdfn, idfn and wtn component as "Pxx", "xPx" and "xxP" normalization strings respectively to have a clear idea about

On Jan 6, 2012, at 8:27 PM, Daniel Berlin wrote: > Note: GCC takes exactly the same approach as LLVM here, for exactly > the reason chris specifies. > In fact, until we started local SSA updating (which is now many years > ago, but ...), dominance frontier calculation for ssa updating was in > the top 10 profile functions for GCC compiles of large source files. > I had tried a

Hello, I would like to work with Orange as part of GSoC 2012(and continue henceforth). Apologies for joining in a bit late- i was waiting to get a proper grasp of things before discussing it here. Currently I am a Masters students in Mathematics with my bachelors in Computer Science[integrated dual degree]. Over the last year and a half, I have worked on a few ML projects and have a couple of

on 2013/3/1 6:11, Gaël Thomas wrote: > > Fundamentally, I think that for the VMKit project, it's important to > be hosted as a subproject of llvm because VMKit heavily relies on llvm > (and because llvm is maybe a little bit more attractive than inria:)). > So, we will quickly re-merge the two projects and continuously > integrates the stable (and interesting) contributions