similar to: NUT Client shuts down when performing runtime calibration on APC UPS

Hello, I am using an APC UPS (Smart-UPS 2200 RM) to secure my SAN. The SAN runs on FreeBSD 9.1-RELEASE-p5 and is using NUT 2.6.5 version 2. Since the UPS has also a Network card AP9630 I am using the snmp-ups driver to connect the SAN to the UPS for signaling. Last week I need to change the battery pack and then I needed to perform a runtime calibration. I used the web interface of the AP9630

On Jan 9, 2017, at 9:46 AM, Merk - Oliver <oliver.merk at pecon.biz> wrote: > > I then connected to my QNAP and set the UPS settings on the web interface to "Shutdown server if power loss is 5 min", the UPS is configured to an SNMP-Connection with its IP-address. Started runtime calibration and after 5min. the QNAP NAS has shut down. But before that I connected via SSH on

Here are the results from the output of upsc under different conditions from my Debian Test system with NUT 2.7.2 : Normal: ups.status: OL No wall power: ups.status: OB Runtime calibration (started from AP9630 web interface): ups.status: OB CAL So at this stage there is a difference! I then connected to my QNAP and set the UPS settings on the web interface to "Shutdown server if power

I've setup nas4free (latest version 11.0.0.4, which has NUT 2.7.4) in a VM and configured it via webinterface to my APC UPS and set "shutdown mode" to "UPS goes on battery" with a timer of 30s. Then I started runtime calibration on the UPS and after 30s nas4free has shut down! I think this is not the correct behavior, since the status was "OB CAL". The system

Thanks for your reply. Sorry for the delay, but until yet I haven't had a subscription, so I haven't seen your answer. I can test this, I have three APC USVs, each equipped with the AP9630 network card. I need to setup a Linux test VM with NUT first. I will give the feedback as soon as I can. Oliver ________________________________ This email was scanned by Bitdefender --------------

On Wed, 11 Jan 2017, Merk - Oliver wrote: > nas4free: /# more /usr/local/bin/upssched-cmd > #!/bin/sh I would strongly recommend specifying which script interpreter is to be used: dash, bash, csh, ksh, ... For example #!/bin/bash There seem to be too many case statements in this script. > case "${1}" in > shutdown-warning) >

Using nut v2.2.2, and the APC serial cable. I have a client who's APC SMART-UPS 1500 (circa 2000) is always reporting LB. The batteries were old so they were replaced two weeks ago with brand new batteries. UPS still reported low batteries... I ran a calibration and a test on the unit (using the nut upscmd utility) During those tests, the battery charge on the unit goes to zero and slowly

I have been working on fitting Cox model for prediction by using rms package. I want to measure model's calibartion and discrimination. Discrimination was measured by using validate() in rms, Dxy can be transferred to Harrell's c index. But in this way, I cannot get 95%CI of c index. How can I do this in R? And by the way, what value should be in c index to present the model's well?

An updated version of the package plink has been uploaded to CRAN. This is a major revision that now includes multidimensional models and methods. plink is a package for conducting unidimensional and multidimensional IRT-based test linking using separate calibration methods for multiple groups for single-format or mixed-format common items. The package supports sixteen IRT models and eleven

An updated version of the package plink has been uploaded to CRAN. This is a major revision that now includes multidimensional models and methods. plink is a package for conducting unidimensional and multidimensional IRT-based test linking using separate calibration methods for multiple groups for single-format or mixed-format common items. The package supports sixteen IRT models and eleven

The first version of the package plink has been uploaded to CRAN. plink is a package for conducting unidimensional IRT scaling and chain linking for multiple groups for single-format or mixed-format common items. The package supports eight IRT models and four calibration methods. Dichotomous Models: 1PL, 2PL, 3PL Polytomous Models: -Graded response model -Partial credit model -Generalized

The first version of the package plink has been uploaded to CRAN. plink is a package for conducting unidimensional IRT scaling and chain linking for multiple groups for single-format or mixed-format common items. The package supports eight IRT models and four calibration methods. Dichotomous Models: 1PL, 2PL, 3PL Polytomous Models: -Graded response model -Partial credit model -Generalized

Hello, I'd need to compute the calibration error of posterior class probabilities p(y|x) estimated by using rpart as classification tree. Namely, I train rpart on a dataset D and then use predict(... type="prob") to estimate p(y|x). I've found the possibility to do that in the ROCR package, but I cannot find a link to a paper/book which explains the details of the

In virtualized environment the APIC timer calibration could go wrong when the host is overcommitted or the guest is running nested, this would result in the APIC timers operating at an incorrect frequency. Since VMware supports a mechanism to retrieve the local APIC frequency we can ask the hypervisor for it and skip this APIC calibration loop. Signed-off-by: Renat Valiullin <rvaliullin at

In virtualized environment the APIC timer calibration could go wrong when the host is overcommitted or the guest is running nested, this would result in the APIC timers operating at an incorrect frequency. Since VMware supports a mechanism to retrieve the local APIC frequency we can ask the hypervisor for it and skip this APIC calibration loop. Signed-off-by: Renat Valiullin <rvaliullin at

Hi; Does anyone know how to create a calibration and validation set from a particular dataset? I have a dataframe with nearly 20,000 rows! and I would like to select (randomly) a subset from the original dataset (...I found how to do that) to use as calibration set. However, I don't know how to remove this "calibration" set from the original dataframe in order to get my

Hi, I have a binary variable and corresponding predicted probability (using logistic regression on some explanatoey variables); I want to check that the model is well-calibrated using a calibration plot. how can I have the calibration plot for my data? thanks. [[alternative HTML version deleted]]

Hi, the calibrate.cph() function in rms package generate calibration curve for Cox model on the same dataset where the model was derived using bootstrapping or cross-validation. If I have the model built on dataset 1, and now I want to produce a calibration curve for this model on an independent dataset 2, how can I do that? Thanks John [[alternative HTML version deleted]]

Hi, Sorry not to provide R-code in my previous mail. R code is below #install.packages("rms") require(rms) #install.packages("mstate") library(mstate) require(splines) library(ggplot2) library(survival) library(splines) #install.packages("survsim") require(survsim) set.seed(10) df<-crisk.sim(n=500, foltime=10, dist.ev=rep("lnorm",2),

Dear R users, I am a new R user and something stops me when I try to write a academic article. I want to make a nomogram to predict the risk of prostate cancer (PCa) using several factors which have been selected from the Logistic regression run under the SPSS. Always, a calibration plot is needed to validate the prediction accuracy of the nomogram. However, I tried many times and read a lot of