similar to: Loess over split data

On 2017/11/14 15:12, Wanpeng Li wrote: > 2017-11-14 15:02 GMT+08:00 Quan Xu <quan.xu0 at gmail.com>: >> >> On 2017/11/13 18:53, Juergen Gross wrote: >>> On 13/11/17 11:06, Quan Xu wrote: >>>> From: Quan Xu <quan.xu0 at gmail.com> >>>> >>>> So far, pv_idle_ops.poll is the only ops for pv_idle. .poll is called >>>>

On 2017/11/14 15:12, Wanpeng Li wrote: > 2017-11-14 15:02 GMT+08:00 Quan Xu <quan.xu0 at gmail.com>: >> >> On 2017/11/13 18:53, Juergen Gross wrote: >>> On 13/11/17 11:06, Quan Xu wrote: >>>> From: Quan Xu <quan.xu0 at gmail.com> >>>> >>>> So far, pv_idle_ops.poll is the only ops for pv_idle. .poll is called >>>>

On 2017/11/13 23:08, Ingo Molnar wrote: > * Quan Xu <quan.xu04 at gmail.com> wrote: > >> From: Quan Xu <quan.xu0 at gmail.com> >> >> To reduce the cost of poll, we introduce three sysctl to control the >> poll time when running as a virtual machine with paravirt. >> >> Signed-off-by: Yang Zhang <yang.zhang.wz at gmail.com> >>

On 2017/11/13 23:08, Ingo Molnar wrote: > * Quan Xu <quan.xu04 at gmail.com> wrote: > >> From: Quan Xu <quan.xu0 at gmail.com> >> >> To reduce the cost of poll, we introduce three sysctl to control the >> poll time when running as a virtual machine with paravirt. >> >> Signed-off-by: Yang Zhang <yang.zhang.wz at gmail.com> >>

On 2017/11/14 15:30, Juergen Gross wrote: > On 14/11/17 08:02, Quan Xu wrote: >> >> On 2017/11/13 18:53, Juergen Gross wrote: >>> On 13/11/17 11:06, Quan Xu wrote: >>>> From: Quan Xu <quan.xu0 at gmail.com> >>>> >>>> So far, pv_idle_ops.poll is the only ops for pv_idle. .poll is called >>>> in idle path which will poll

On 2017/11/14 15:30, Juergen Gross wrote: > On 14/11/17 08:02, Quan Xu wrote: >> >> On 2017/11/13 18:53, Juergen Gross wrote: >>> On 13/11/17 11:06, Quan Xu wrote: >>>> From: Quan Xu <quan.xu0 at gmail.com> >>>> >>>> So far, pv_idle_ops.poll is the only ops for pv_idle. .poll is called >>>> in idle path which will poll

On 2017/11/13 18:53, Juergen Gross wrote: > On 13/11/17 11:06, Quan Xu wrote: >> From: Quan Xu <quan.xu0 at gmail.com> >> >> So far, pv_idle_ops.poll is the only ops for pv_idle. .poll is called >> in idle path which will poll for a while before we enter the real idle >> state. >> >> In virtualization, idle path includes several heavy operations

On 2017/11/13 18:53, Juergen Gross wrote: > On 13/11/17 11:06, Quan Xu wrote: >> From: Quan Xu <quan.xu0 at gmail.com> >> >> So far, pv_idle_ops.poll is the only ops for pv_idle. .poll is called >> in idle path which will poll for a while before we enter the real idle >> state. >> >> In virtualization, idle path includes several heavy operations

On 2017/11/14 18:27, Juergen Gross wrote: > On 14/11/17 10:38, Quan Xu wrote: >> >> On 2017/11/14 15:30, Juergen Gross wrote: >>> On 14/11/17 08:02, Quan Xu wrote: >>>> On 2017/11/13 18:53, Juergen Gross wrote: >>>>> On 13/11/17 11:06, Quan Xu wrote: >>>>>> From: Quan Xu <quan.xu0 at gmail.com> >>>>>>

On 2017/11/14 18:27, Juergen Gross wrote: > On 14/11/17 10:38, Quan Xu wrote: >> >> On 2017/11/14 15:30, Juergen Gross wrote: >>> On 14/11/17 08:02, Quan Xu wrote: >>>> On 2017/11/13 18:53, Juergen Gross wrote: >>>>> On 13/11/17 11:06, Quan Xu wrote: >>>>>> From: Quan Xu <quan.xu0 at gmail.com> >>>>>>

From: Quan Xu <quan.xu0 at gmail.com> To reduce the cost of poll, we introduce three sysctl to control the poll time when running as a virtual machine with paravirt. Signed-off-by: Yang Zhang <yang.zhang.wz at gmail.com> Signed-off-by: Quan Xu <quan.xu0 at gmail.com> --- Documentation/sysctl/kernel.txt | 35 +++++++++++++++++++++++++++++++++++ arch/x86/kernel/paravirt.c

From: Quan Xu <quan.xu0 at gmail.com> To reduce the cost of poll, we introduce three sysctl to control the poll time when running as a virtual machine with paravirt. Signed-off-by: Yang Zhang <yang.zhang.wz at gmail.com> Signed-off-by: Quan Xu <quan.xu0 at gmail.com> --- Documentation/sysctl/kernel.txt | 35 +++++++++++++++++++++++++++++++++++ arch/x86/kernel/paravirt.c

From: Quan Xu <quan.xu0 at gmail.com> So far, pv_idle_ops.poll is the only ops for pv_idle. .poll is called in idle path which will poll for a while before we enter the real idle state. In virtualization, idle path includes several heavy operations includes timer access(LAPIC timer or TSC deadline timer) which will hurt performance especially for latency intensive workload like message

I'm updating the loess routines to allow for, among other things, arbitrary local polynomial degree and number of predictors. For now, I've given the updated package its own namespace. The trouble is, panel.loess still calls the original code in package:stats instead of the new loess package, regardless of whether package:loess or package:lattice comes first in the search list. If I

Dear R community, I am trying to understand how the predict function, specifically, the predict.loess function works. I understand that the loess function calculates regression parameters at each data point in 'data'. lo <- loess ( y~x, data) p <- predict (lo, newdata) I understand that the predict function predicts values for 'newdata' according to the loess regression

For some reason the following code is not plotting as I want it to. I want to plot a "loess" line plotted over a scatter plot. I get a jumble, with lines connecting all the points. I had a similar problem with "lowess". I solved that by dropping "NA" rows from the data columns. Please help. library(stats) attach(gini_pci_wdi_narm) plot(ny_gnp_pcap_pp_kd, si_pov_gini)

Dear R-community, maybe someone can help me with this: I've been using the loess() smoother for quite a while now, and for the matter of documentation I'd like to resolve the acronym LOESS. Unfortunately there's no explanation in the help file, and I didn't get anything convincing from google either. I know that the predecessor LOWESS stands for "Locally Weighted

Thanks, John. However, loess.smooth() is producing a very different curve compared to the one that results from applying predict() on a loess(). I am guessing they are using different defaults. Correct? On Thu, 23 Mar 2023 at 20:20, John Fox <jfox at mcmaster.ca> wrote: > Dear Anupam Tyagi, > > You didn't include your data, so it's not possible to see exactly what >

I have a question about running an optimization function on an existing LOESS function defined in R. I have a very large dataset (1 million observations) and have run a LOESS regression. Now, I want to run a Newton-Raphson optimization to determine the point at which the slope change is the greatest. I am relatively new to R and have tried several permutations of the maxNR and nlm functions with

Dear Anupam Tyagi, You didn't include your data, so it's not possible to see exactly what happened, but I think that you misunderstand the object that loess() returns. It returns a "loess" object with several components, including the original data in x and y. So if pass the object to lines(), you'll simply connect the points, and if x isn't sorted, the points