similar to: Wierd winbind results

Platform: RHEL 3 Version: 3.02a For some reason whenever I try to join our domain by using either RH's binary or a custom compiled src.rpm, I get the following: [root@bonair samba]# net join -U dchait dchait password: realm must be set in in smb.conf for ADS join to succeed. ADS join did not work, falling back to RPC... [2004/03/10 12:29:19, 0] lib/util_sock.c:read_socket_with_timeout(279)

Hi All! Thanks to all of you that responded to my previous posts. I've gotten a lot more info now than I used to have! But I still have questions. The biggest right now is: Is there a way build up a Samba PDC as a direct replacement for an existing Windows NT 4.0 PDC? All the material I've found to date is written from a standpoint of creating a new domain as you create the Samba

Hi, I was wondering if anyone has had any experience with using the Dfs functionality within Samba. I've been searching for any performance information and or documentation regarding Dfs in particular load balancing i.e. 1) How does it load balance? Is it some sort of round robin? 2) Is there a limit to the number of servers that can used in the load balance? 3) How many requests per

All, As much as I hate to ask, how is this project coming along? We are approaching the 4 month post-release point... -David -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.centos.org/pipermail/centos/attachments/20110404/1e9862bd/attachment-0005.html>

KILL IT NOW. KILL IT NOW. KILL IT NOW. // Brian Mathis On Mon, Apr 4, 2011 at 6:51 PM, Jimmy Bradley <bmobile40 at ocellaris.net> wrote: > ? ? ?I've seen the posts over and over again about "when is 6 going to > be out?" I appreciate the time the developers put in to make cent os > available. > ? ? ?My main question about when is 6 going to be out is, does it

Client - Not for Profit in the Middle of the Jungle/Rain Forrest Infrastructure - Datacenter is Non Climate Controlled, Prone to Flooding, and has Sketchy Power, LAN - NEW Cabling in main Office building, Hodge Podge of DYI wiring across remaining buildings. Phones - Total of about 50 extensions. Only about 25 - 30 phones will be IP phones, 20-30 more will have to be analog due to the distance.

Hi, I recently upgraded my servers from 3.0.28 to 3.0.31 trying to solve the winbind issue previously reported (Bug# 5551) but the issue is still happening in my servers. I have an ftp server (vsftpd), configured to use pam_winbind with krb5_auth and I see some random disconnects and my users cant login. My samba servers are member of a Windows 2003 domain. The relevant lines on my

Hi .. I tried to exclude certain objects from my search, by adding appropriate term queries .. i = Ferret::Index::Index.new i.field_infos.add_field(:type, :index => :untokenized, :term_vector => :no) i << {:type => "Movie", :name => "Indiana" } i << {:type => "Movie", :name => "Forrest" } i << {:type =>

I think you are missing the point of random forests. But if you just want to predict using the forest, there is a predict() method that you can use. Other than that, I certainly don't understand what you mean. Maybe someone else might. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka

I still need the output to match my requiremnt in my original post. With decision rules "clusters" and probability attached to them. The examples are sort of similar. You just provided links to general info about trees. Sent from my Verizon, Samsung Galaxy smartphone<div> </div><div> </div><!-- originalMessage --><div>-------- Original message

Ah yes I will have to use the predict function. But the predict function will not get me there really. If I can take the example that I have a model predicting whether or not I will play golf (this is the dependent value), and there are three independent variables Humidity(High, Medium, Low), Pending_Chores(Taxes, None, Laundry, Car Maintenance) and Wind (High, Low). I would like rules like

Tjats great that you are familiar and thanks for responding. Have you ever done what I am referring to? I have alteady spent time going through links and tutorials about decision trees and random forrests and have even used them both before. Mike On Apr 13, 2016 5:32 PM, "Sarah Goslee" <sarah.goslee at gmail.com> wrote: It sounds like you want classification or regression trees.

Ok is there a way to do it with decision tree? I just need to make the decision rules. Perhaps I can pick one of the trees used with Random Forrest. I am somewhat familiar already with Random Forrest with respective to bagging and feature sampling and getting the mode from the leaf nodes and it being an ensemble technique of many trees. I am just working from the perspective that I need

Since you only have 3 predictors, each categorical with a small number of categories, you can use expand.grid to make a data.frame containing all possible combinations and give that the predict method for your model to get all possible predictions. Something like the following untested code. newdata <- expand.grid( Humidity = levels(Humidity), #(High, Medium,Low)

Hello Thomas and Amit, Thanks for your notice and the detailed decode performance report. I describe the details of my encode/decode test on STM32F407ZG. A. opus version: latest 1.2.1 (TI: opus 1.1.2) B. KEIL 5.23 (TI: ARM compiler tool chain 5.2.7) C. setup the encoder as the below (fs is the sampling frequency) enc = opus_encoder_create(fs, chans, OPUS_APPLICATION_AUDIO, &opus_err);

I need the output to have groups and the probability any given record in that group then has of being in the response class. Just like my email in the beginning i need the output that looks like if A and if B and if C then %77 it will be D. The examples you provided are just simply not similar. They are different and would take interpretation to get what i need. On Apr 14, 2016 1:26 AM,

Hi, my program works well with fedora-2 .with fedora-5 it's gives following errors.. get_it_i_say.c:549: warning: implicit declaration of function 'strcmp' cc -o giis dir.o file.o get_it_i_say.o group.o init.o inode.o main.o searchnupdate.o uninit.o inode.o: In function `read_inode':inode.c:(.text+0x202): undefined reference to `S_ISDIR' inode.o: In function

Nope. Random forests are not decision trees -- they are ensembles (forests) of trees. You need to go back and read up on them so you understand how they work. The Hastie/Tibshirani/Friedman "The Elements of Statistical Learning" has a nice explanation, but I'm sure there are lots of good web resources, too. Cheers, Bert Bert Gunter "The trouble with having an open mind is

Hi I'm trying to get the top decision rules from a decision tree. Eventually I will like to do this with R and Random Forrest. There has to be a way to output the decsion rules of each leaf node in an easily readable way. I am looking at the randomforrest and rpart packages and I dont see anything yet. Mike [[alternative HTML version deleted]]

I setup sip realtime. Is it possible to use a type of friend? User and Peer seem to work fine. -- *** Forrest Beck IAXTEL: 17002871718 jonforrest.beck@gmail.com