similar to: two samba servers in different AD forests on one host?

Hi, I have the following situation: I'm designing a solution for an organization with two Active Directory forests. The forests do not have a trust relationship, and there is no chance to get them to move to a trust relationship (at least within a reasonable timescale). I need to set up a fileserver than both sets of users can access, with Windows authentication. I could host this on a UNIX

On Fri, 6 Apr 2018 08:01:50 -0700 (MST) Lea Massiot via samba <samba at lists.samba.org> wrote: > Hello, > > My post is about having two Samba 4 AD DC at two different > geographical places and access resources bidirectionnaly through a > VPN as summarized in the schema below. > > ------------------------- > Geographical site 1 > ------------------------- > -

I am hoping someone can shed some light on this. We have a setup that is using Active Directory Windows 2008 R2 with 2 domains, A and B. They are across forests, with a one-way trust between the forests. A is the trusted domain, B is the trusting domain. We have a 3.6.9 samba server joined to B's Active Directory. If we try authenticating from our machine in B's domain as a user from A

Hello .. Does anyone have a description or hints on how to get Samba to see users from two separate Windows ADS Domains/Forests ? Here is the Situation : Windows (Server 2003 R2): TEST.DOM and DEMO.DOM in separate 'Forests' DEMO.DOM Win2003 ADS -> explicit incoming Trust from TEST.DOM TEST.DOM Win2003 ADS -> explicit outgoing Trust to DEMO.DOM ( TEST.DOM Trusts

Hello! I think I am relatively clear on how predictor importance (the first one) is calculated by Random Forests for a Classification tree: Importance of predictor P1 when the response variable is categorical: 1. For out-of-bag (oob) cases, randomly permute their values on predictor P1 and then put them down the tree 2. For a given tree, subtract the number of votes for the correct class in the

I understand the original implementation of Random Forest was done in Fortran code. In the source files of the R implementation there is a note "C wrapper for random forests: get input from R and drive the Fortran routines.". I'm far from an expert on this...does that mean that the implementation in R is through calls to C functions only (not Fortran)? So, would knowing C be

On Thu, Dec 08, 2016 at 12:19:08PM +0100, Karim Ayari via samba wrote: > We implement a Multiple-Forests - Super Admin Domain Model based on : > > https://technet.microsoft.com/en-us/library/cc546821.aspx > > We have 2 forests using W2K12r2 : RSC for resources and ADM for admin user > accounts. > > We join linux server to RSC with ADM credential : > > # net ads

Thank you Volker, I try to use hash and rid as an alternative to ad backend. The best I can get is the SID user from ADM, but I can't get he's groups. If it is feasible, could you point me to a solution ? or simply should I switch to another solution ? 2016-12-08 12:25 GMT+01:00 Volker Lendecke <vl at samba.org>: > On Thu, Dec 08, 2016 at 12:19:08PM +0100, Karim Ayari via

Hello R Gurus, I am perplexed by the different results I obtained when I ran code like this: set.seed(100) test1<-randomForest(BinaryY~., data=Xvars, trees=51, mtry=5, seed=200) predict(test1, newdata=cbind(NewBinaryY, NewXs), type="response") and this code: set.seed(100) test2<-randomForest(BinaryY~., data=Xvars, trees=51, mtry=5, seed=200, xtest=NewXs, ytest=NewBinarY) The

Well I'm hoping someone here can give me some assistance. Where I work we manage multiple AD forests. We are looking for a way to centrally manage this. Right now each forest has its own logins for our support people here. I hoping there's a way to make samba make this a bit easier. I know samba will do domain trusts, but is there a way to have it have do trusts to each seperate forest.

We implement a Multiple-Forests - Super Admin Domain Model based on : https://technet.microsoft.com/en-us/library/cc546821.aspx We have 2 forests using W2K12r2 : RSC for resources and ADM for admin user accounts. We join linux server to RSC with ADM credential : # net ads join -U linuxadm at ADM.LAB We have a problem when we had to read uidNumber and gidNumber from ADM Forest. Winbind try to

Hello all, I have largely only used samba in my home. I have several large projects I see coming for me that require domain trusts, forests and Samba 4. As I have been reading up on Samba 4, I have found several things people have mentioned that are being worked on or need to be worked on. One of which is uid/gid <-> rid mapping and work for inter-domain trusts. I think I may have found a

So I've been working with Random Forests ( R library is randomForest) and I curious if Random Forests could be applied to classifying on a real time basis. For instance lets say I've scored fraud from a group of transactions. If I want to score any new incoming transactions for fraud could Random Forests be used in that context. Linear Regression is nice in that it is very easy to

Hello, My post is about having two Samba 4 AD DC at two different geographical places and access resources bidirectionnaly through a VPN as summarized in the schema below. ------------------------- Geographical site 1 ------------------------- - AD DC: Samba 4.1.4 - LAN_1 IPs: 192.168.1.0/24 - Machines DNS names: <hostname>.company.lan - Some machines do not move from this site. - Some

On 28/10/2019 21:53, Nathaniel W. Turner via samba wrote: > Hi folks, > > I'm trying to support a customer with multiple AD forests, and during my > research, I've observed some odd behavior. In my lab tests, it seems like > authentication works for users in all trusted forests, but only if NTLMSSP > is used. When Kerberos ends up being used, authentication only seems to

Hello, hello Rowland, So the physical configuration is something like below : +-------------------------------+ server_a Samba AD DC Domain: mycompany.net Subnet: 192.168.1.0/24 IP : 192.168.1.2 +-------------------------------+ +-------------------------------+ pc_a_1 FQDN: pc_a_1.mycompany.net. IP: 192.168.1.33 +-------------------------------+

Dear all, I would like to use a tree regression method to analyze my dataset. I am interested in the fact that random forests creates in-bag and out-of-bag datasets, but I also need an estimate of support for each split. That seems hard to do in random forests since each tree is grown using a subset of the predictor variables. I was thinking of setting mtry = number of predictor variables,

Hello, hello Rowland, So the physical configuration is something like below : +-------------------------------+ server_a   Samba AD DC   Domain: mycompany.net   Subnet: 192.168.1.0/24   IP    : 192.168.1.2 +-------------------------------+ +-------------------------------+ pc_a_1   FQDN: pc_a_1.mycompany.net.   IP:   192.168.1.33 +-------------------------------+

Hi all, There is now a package available on CRAN that provides an R interface to Leo Breiman's random forest classifier. Basically, random forest does the following: 1. Select ntree, the number of trees to grow, and mtry, a number no larger than number of variables. 2. For i = 1 to ntree: 3. Draw a bootstrap sample from the data. Call those not in the bootstrap sample the

Hi all, There is now a package available on CRAN that provides an R interface to Leo Breiman's random forest classifier. Basically, random forest does the following: 1. Select ntree, the number of trees to grow, and mtry, a number no larger than number of variables. 2. For i = 1 to ntree: 3. Draw a bootstrap sample from the data. Call those not in the bootstrap sample the