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as seen on Super User
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I have a Mac 10.5
when I type "python" in terminal, it says
Enthought Python Distribution -- www.enthought.com
Version: 7.3-2 (64-bit)
Python 2.7.3 |EPD 7.3-2 (64-bit)| (default, Apr 12 2012, 11:14:05)
[GCC 4.0.1 (Apple Inc. build 5493)] on darwin
Type "credits", "demo" or "enthought"…
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as seen on Stack Overflow
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When creating a libsvm training file, how do you differentiate between a nominal attribute verses a numeric attribute? I'm trying to encode certain nominal attributes as integers, but I want to ensure libsvm doesn't misinterpret them as numeric values. Unfortunately, libsvm's site seems to have very…
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as seen on Stack Overflow
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I'm new to SVMs, and I'm trying to use the Python interface to libsvm to classify a sample containing a mean and stddev. However, I'm getting nonsensical results.
Is this task inappropriate for SVMs or is there an error in my use of libsvm? Below is the simple Python script I'm using to test:
#…
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as seen on Stack Overflow
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I've been searching the net for ~3 hours but I couldn't find a solution yet. I want to give a precomputed kernel to libsvm and classify a dataset, but:
How can I generate a precomputed kernel? (for example, what is the basic precomputed kernel for Iris data?)
In the libsvm documentation, it is stated…
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as seen on Programmers
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I'm using libvm-3.11. I downloaded it at http://www.csie.ntu.edu.tw/~cjlin/libsvm/ and extracted. Then I set path in Matlb. After that whenever I run my program, it gives the same error always.
??? Invalid MEX-file 'E:\Gomu\Gomu General\final yr
Project\proj\libsvm-3.11\windows\svmtrain.mexw32':…
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as seen on Stack Overflow
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I'm coding a board game where there is a bag of possible pieces. Each turn, players remove randomly selected pieces from the bag according to certain rules.
For my implementation, it may be easier to divide up the bag initially into pools for one or more players. These pools would be randomly selected…
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as seen on Stack Overflow
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A friend of mine asked: if I have two dice and I throw both of them, what is the most frequent sum (of the two dice' numbers)?
I wrote a small script:
from random import randrange
d = dict((i, 0) for i in range(2, 13))
for i in xrange(100000):
d[randrange(1, 7) + randrange(1, 7)] += 1
print…
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as seen on Stack Overflow
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If I use relative frequency to estimate the probability of an event, how good is my estimate based on the number of experiments? Is standard deviation a good measure? A paper/link/online book would be perfect.
http://en.wikipedia.org/wiki/Frequentist
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as seen on Dr Dobbs
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For when you really do need randomness
Probability - Math - Event - Teaching Resources - Past Events
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as seen on Stack Overflow
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This MSDN article proves the correctness of Reservoir Sampling algorithm as follows:
Base case is trivial. For the k+1st
case, the probability a given
element i with position <= k is in R
is s/k.
The probability i is replaced is the probability k+1st element is chosen multiplied by i being…
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