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Binomial GLM in Julia - how to specify hits and misses


Binomial GLM in Julia - how to specify hits and misses

By : Sunil
Date : November 22 2020, 09:00 AM
this will help While it isn't pretty to inflate the dataset into a ~100k row dataframe, it does get it to work. To use the code below, first load your dataset into xvals,hits and misses (as linked in the question) and then:
code :
# spreading dataset to one row per trial...   
data = DataFrame(
    xvals = vcat(rep(xvals,hits),rep(xvals,misses)), 
    outcome = vcat(rep(1,sum(hits)),rep(0,sum(misses))))

glm1 = glm(outcome ~ xvals, data, Binomial(),LogitLink())


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APC Hits/Misses and configuration

APC Hits/Misses and configuration


By : Fabo Robert
Date : March 29 2020, 07:55 AM
This might help you What are "Hits & Misses" in reference to APC opcode caching? I've installed APC and it's running great, but I've got "some" misses and I'm wondering if that's "bad". Also, I am running Openx and, as such, am filling up the "Cache full count(s)" pretty quickly. What do I need to change in the configuration to minimize that? Any recommended configurations? , Some misses are to be expected.
Hits = things are in cache
Incorrect ehcache statistics: hits+misses == 0

Incorrect ehcache statistics: hits+misses == 0


By : Gui Porto
Date : March 29 2020, 07:55 AM
This might help you Found the solution to the problem by setting the following properties in net.sf.ehcache.hibernate.EhCache:
code :
  cache.setStatisticsEnabled(true);
  cache.setStatisticsAccuracy(Statistics.STATISTICS_ACCURACY_GUARANTEED);
Have a few questions about caches and cache hits/misses

Have a few questions about caches and cache hits/misses


By : H Gallagher
Date : March 29 2020, 07:55 AM
should help you out In the example the cache block size is 32 bytes, i.e., byte-addressing is being used; with four-byte words, this is 8 words.
Since an entire block is loaded into cache on a miss and the block size is 32 bytes, to get the index one first divides the address by 32 to find the block number in memory. The block number modulo 32 (5-bit index) is the index. The block number divided by 32 is the tag. The trace would look like this:
code :
   0  miss  <00000, 0000, mem[0..31]>
   4  hit   <00000, 0000, mem[0..31]>
  16  hit   <00000, 0000, mem[0..31]>
 132  miss  <00100, 0000, mem[128..159]>
 232  miss  <00111, 0000, mem[224..255]>
 160  miss  <00101, 0000, mem[160..191]>
1024  miss  <00000, 0001, mem[1024..1055]>
  30  miss  <00000, 0000, mem[0..31]>
 140  hit   <00100, 0000, mem[128..159]>
3100  miss  <00000, 0011, mem[3072..3103]>
 180  hit   <00101, 0000, mem[160..191]>
2180  miss  <00100, 0010, mem[2176..2207]>
<00000, 0011, mem[3072..3103]>
<00100, 0010, mem[2176..2207]>
<00101, 0000, mem[160..191]>
<00111, 0000, mem[224..255]>
How to measure L1, L2, L3 cache hits & misses in OSX

How to measure L1, L2, L3 cache hits & misses in OSX


By : EPS Auto
Date : March 29 2020, 07:55 AM
like below fixes the issue You can enable unsigned kernel extensions with OS X (reboot afterwards required):
code :
sudo nvram boot-args=kext-dev-mode=1
sudo nvram boot-args=kext-dev-mode=0
How can I profile the TLB hits and TLB misses in ubuntu

How can I profile the TLB hits and TLB misses in ubuntu


By : Gaurav Parekh
Date : March 29 2020, 07:55 AM
seems to work fine One way you could simulate this is using cachegrind, a part of valgrind.
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