On Wed, Mar 21, 2012 at 6:32 PM, Juan Manuel Cabo juanmanuel.c...@gmail.com
wrote:
This is a small util I wrote in D which is like the unix
'time' command but can repeat the command N times and show
median, average, standard deviation, minimum and maximum.
As you all know, it is not proper
On 23/03/12 16:25, Andrei Alexandrescu wrote:
On 3/23/12 12:51 AM, Manfred Nowak wrote:
Andrei Alexandrescu wrote:
You may want to also print the mode of the distribution,
nontrivial but informative
In case of this implementation and according to the given link: trivial
and noninformative,
On 3/23/12 4:11 PM, Juan Manuel Cabo wrote:
On Friday, 23 March 2012 at 06:51:48 UTC, James Miller wrote:
Dude, this is awesome. I tend to just use time, but if I was doing
anything more complicated, I'd use this. I would suggest changing the
name while you still can. avgtime is not that
On Tuesday, 27 March 2012 at 00:58:26 UTC, Ary Manzana wrote:
On 3/23/12 4:11 PM, Juan Manuel Cabo wrote:
On Friday, 23 March 2012 at 06:51:48 UTC, James Miller wrote:
Dude, this is awesome. I tend to just use time, but if I was
doing
anything more complicated, I'd use this. I would suggest
On Tuesday, 27 March 2012 at 01:19:22 UTC, Juan Manuel Cabo wrote:
On Tuesday, 27 March 2012 at 00:58:26 UTC, Ary Manzana wrote:
On 3/23/12 4:11 PM, Juan Manuel Cabo wrote:
On Friday, 23 March 2012 at 06:51:48 UTC, James Miller wrote:
Dude, this is awesome. I tend to just use time, but if I
On Thursday, 22 March 2012 at 17:13:58 UTC, Manfred Nowak wrote:
Juan Manuel Cabo wrote:
like the unix 'time' command
`version linux' is missing.
-manfred
Done!, it works in windows now too.
(release 0.5 in github).
--jm
On Tuesday, 27 March 2012 at 03:39:56 UTC, Ary Manzana wrote:
On Tuesday, 27 March 2012 at 01:19:22 UTC, Juan Manuel Cabo
wrote:
On Tuesday, 27 March 2012 at 00:58:26 UTC, Ary Manzana wrote:
On 3/23/12 4:11 PM, Juan Manuel Cabo wrote:
On Friday, 23 March 2012 at 06:51:48 UTC, James Miller
Andrei Alexandrescu wrote:
Wait, doesn't a benchmark always measure an algorithm with the same
input?
The fact that you formulate as a question indicates that you are unsure
about the wright answer---me too, but
1)
surely one can define a benchmark to have this property. But if one
uses
Am Fri, 23 Mar 2012 09:02:01 +0100
schrieb Juan Manuel Cabo juanmanuel.c...@gmail.com:
On Friday, 23 March 2012 at 05:16:20 UTC, Andrei Alexandrescu
wrote:
[.]
(man, the gaussian curve is everywhere, it never ceases to
perplex me).
I'm actually surprised. I'm working on
On 3/23/12 5:42 PM, Manfred Nowak wrote:
Andrei Alexandrescu wrote:
In the limit, taking the minimum over infinitely many
measurements of X would yield T.
True, if the thoretical variance of the distribution of T is close to
zero. But horrible wrong, if T depends on an algorithm that is fast
On 23 March 2012 17:53, Juan Manuel Cabo juanmanuel.c...@gmail.com wrote:
But I think the most important change is that I'm now showing
the 95% and 99% confidence intervals. (For the confidence intervals
to mean anything, please everyone, remember to control
your variables (don't defrag and
On Friday, 23 March 2012 at 05:16:20 UTC, Andrei Alexandrescu
wrote:
[.]
(man, the gaussian curve is everywhere, it never ceases to
perplex me).
I'm actually surprised. I'm working on benchmarking lately and
the distributions I get are very concentrated around the
minimum.
Andrei
On Thursday, 22 March 2012 at 17:13:58 UTC, Manfred Nowak wrote:
Juan Manuel Cabo wrote:
like the unix 'time' command
`version linux' is missing.
-manfred
Linux only for now. Will make it work in windows this weekend.
I hope that's what you meant.
--jm
On Friday, 23 March 2012 at 06:51:48 UTC, James Miller wrote:
Dude, this is awesome. I tend to just use time, but if I was
doing
anything more complicated, I'd use this. I would suggest
changing the
name while you still can. avgtime is not that informative a
name given
that it now does more
On Friday, 23 March 2012 at 05:51:40 UTC, Manfred Nowak wrote:
| For samples, if it is known that they are drawn from a
symmetric
| distribution, the sample mean can be used as an estimate of
the
| population mode.
I'm not printing the population mode, I'm printing the 'sample
mode'.
It
On 23 March 2012 21:37, Juan Manuel Cabo juanmanuel.c...@gmail.com wrote:
PS: I should use the t student to make the confidence intervals,
and for computing that I should use the sample standard
deviation (/n-1), but that is a completely different story.
The z normal with n30 aproximation is
On 23/03/12 09:37, Juan Manuel Cabo wrote:
On Friday, 23 March 2012 at 05:51:40 UTC, Manfred Nowak wrote:
| For samples, if it is known that they are drawn from a symmetric
| distribution, the sample mean can be used as an estimate of the
| population mode.
I'm not printing the population
On 23/03/12 11:20, Don Clugston wrote:
On 23/03/12 09:37, Juan Manuel Cabo wrote:
On Friday, 23 March 2012 at 05:51:40 UTC, Manfred Nowak wrote:
| For samples, if it is known that they are drawn from a symmetric
| distribution, the sample mean can be used as an estimate of the
| population
On 3/23/12 12:51 AM, Manfred Nowak wrote:
Andrei Alexandrescu wrote:
You may want to also print the mode of the distribution,
nontrivial but informative
In case of this implementation and according to the given link: trivial
and noninformative, because
| For samples, if it is known that
On 3/23/12 3:02 AM, Juan Manuel Cabo wrote:
On Friday, 23 March 2012 at 05:16:20 UTC, Andrei Alexandrescu wrote:
[.]
(man, the gaussian curve is everywhere, it never ceases to
perplex me).
I'm actually surprised. I'm working on benchmarking lately and the
distributions I get are very
On 3/23/12 5:51 AM, Don Clugston wrote:
No, it's easy. Student t is in std.mathspecial.
Aargh, I didn't get around to copying it in. But this should do it.
[snip]
Shouldn't put this stuff in std.numeric, or create a std.stat module? I
think also some functions for t-test would be useful.
On Friday, 23 March 2012 at 15:33:18 UTC, Andrei Alexandrescu
wrote:
On 3/23/12 3:02 AM, Juan Manuel Cabo wrote:
On Friday, 23 March 2012 at 05:16:20 UTC, Andrei Alexandrescu
wrote:
[.]
(man, the gaussian curve is everywhere, it never ceases to
perplex me).
I'm actually surprised. I'm
On Friday, 23 March 2012 at 10:51:37 UTC, Don Clugston wrote:
No, it's easy. Student t is in std.mathspecial.
Aargh, I didn't get around to copying it in. But this should do
it.
/** Inverse of Student's t distribution
*
[.]
Great!!! Thank you soo much Don!!!
--jm
On Friday, 23 March 2012 at 05:26:54 UTC, Nick Sabalausky wrote:
Wow, that's just fantastic! Really, this should be a standard
system tool.
I think this guy would be proud:
http://zedshaw.com/essays/programmer_stats.html
Thanks for the good vibes!
Hahahhah, that article is so ing
Andrei Alexandrescu wrote:
In the limit, taking the minimum over infinitely many
measurements of X would yield T.
True, if the thoretical variance of the distribution of T is close to
zero. But horrible wrong, if T depends on an algorithm that is fast
only under amortized analysis, because
Juan Manuel Cabo juanmanuel.c...@gmail.com wrote in message
news:bqrlhcggehbrzyuhz...@forum.dlang.org...
On Friday, 23 March 2012 at 06:51:48 UTC, James Miller wrote:
Dude, this is awesome. I tend to just use time, but if I was doing
anything more complicated, I'd use this. I would suggest
Juan Manuel Cabo wrote:
like the unix 'time' command
`version linux' is missing.
-manfred
On 3/21/12 7:32 PM, Juan Manuel Cabo wrote:
avgtime -r 10 -q ls -lR /etc
Total time (ms): 933.742
Repetitions : 10
Median time : 90.505
Avg time : 93.3742
Std dev. : 4.66808
Minimum : 88.732
Maximum : 101.225
Sweet! You may want to also print the mode of the
On Thursday, 22 March 2012 at 22:22:31 UTC, Andrei Alexandrescu
wrote:
Sweet! You may want to also print the mode of the distribution,
which is the time of the maximum sample density.
http://en.wikipedia.org/wiki/Mode_(statistics) (Warning:
nontrivial but informative.)
Andrei
Thanks for
On 3/22/12 11:53 PM, Juan Manuel Cabo wrote:
On Thursday, 22 March 2012 at 22:22:31 UTC, Andrei Alexandrescu wrote:
Sweet! You may want to also print the mode of the distribution, which
is the time of the maximum sample density.
http://en.wikipedia.org/wiki/Mode_(statistics) (Warning:
Juan Manuel Cabo juanmanuel.c...@gmail.com wrote in message
news:mytcmgglyntqsoybj...@forum.dlang.org...
On Thursday, 22 March 2012 at 22:22:31 UTC, Andrei Alexandrescu wrote:
Sweet! You may want to also print the mode of the distribution, which is
the time of the maximum sample density.
This is a small util I wrote in D which is like the unix
'time' command but can repeat the command N times and show
median, average, standard deviation, minimum and maximum.
As you all know, it is not proper to conclude that
a program is faster than another program by running
them just once.
On Thursday, 22 March 2012 at 00:32:31 UTC, Juan Manuel Cabo
wrote:
This is a small util I wrote in D which is like the unix
'time' command but can repeat the command N times and show
median, average, standard deviation, minimum and maximum.
As you all know, it is not proper to conclude that
a
On Thursday, 22 March 2012 at 01:37:19 UTC, Tove wrote:
Awesome, I do have a tiny feature request for the next
version... a commandline switch to enable automatically
discarding the first run as an outlier.
/Tove
Done, I just put it in github. (-d switch).
But maybe you should be looking
Juan Manuel Cabo juanmanuel.c...@gmail.com wrote in message
news:zgjczrnyknqsiylhn...@forum.dlang.org...
This is a small util I wrote in D which is like the unix
'time' command but can repeat the command N times and show
median, average, standard deviation, minimum and maximum.
As you all
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