Older blog entries for sness (starting at number 5706)

How to keep files safe from accidental overwriting with noclobber under BASH shell

How to keep files safe from accidental overwriting with noclobber under BASH shell: "Sometime you just need to turn off noclobber for single operation. Use >| operator to force the file to be overwritten:
$ ls /etc >| output.txt
$ less output.txt


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Syndicated 2013-07-17 17:52:00 from sness

linux - Bash Loop - How to stop the loop when I press Control-C inside a command? - Server Fault

linux - Bash Loop - How to stop the loop when I press Control-C inside a command? - Server Fault: "for DIR in * ; do rsync -a $DIR example.com:somewhere/ || break; done"

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Syndicated 2013-07-17 17:14:00 from sness

Do Things that Don't Scale

Do Things that Don't Scale: "It's not enough just to do something extraordinary initially. You have to make an extraordinary effort initially. Any strategy that omits the effort—whether it's expecting a big launch to get you users, or a big partner—is ipso facto suspect."

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Syndicated 2013-07-16 23:16:00 from sness

Magnolia - Wikipedia, the free encyclopedia

Magnolia - Wikipedia, the free encyclopedia: "Magnolia is a large genus of about 210[1] flowering plant species in the subfamily Magnolioideae of the family Magnoliaceae. It is named after French botanist Pierre Magnol."

Syndicated 2013-07-16 18:20:00 from sness

Stop working (so hard) — I.M.H.O. — Medium

Stop working (so hard) — I.M.H.O. — Medium: "The idea that, without “hustle,” without throwing away nights and weekends, without putting your life on hold for your work, you’ll somehow be more successful, more productive, is ridiculous to me, yet continues to be pushed by participants in our industry left and right. This is, quite simply, insane.


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Syndicated 2013-07-16 15:28:00 from sness

3.2. Support Vector Machines — scikit-learn 0.13.1 documentation

3.2. Support Vector Machines — scikit-learn 0.13.1 documentation: "In problems where it is desired to give more importance to certain classes or certain individual samples keywords class_weight and sample_weight can be used."

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Syndicated 2013-07-13 04:54:00 from sness


LIBSVM FAQ: "Q: Does libsvm have special treatments for linear SVM?
No, libsvm solves linear/nonlinear SVMs by the same way. Some tricks may save training/testing time if the linear kernel is used, so libsvm is NOT particularly efficient for linear SVM, especially when C is large and the number of data is much larger than the number of attributes. You can either

Use small C only. We have shown in the following paper that after C is larger than a certain threshold, the decision function is the same.
S. S. Keerthi and C.-J. Lin. Asymptotic behaviors of support vector machines with Gaussian kernel . Neural Computation, 15(2003), 1667-1689.

Check liblinear, which is designed for large-scale linear classification.
Please also see our SVM guide on the discussion of using RBF and linear kernels."

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Syndicated 2013-07-13 04:44:00 from sness

Soft margin classification

Soft margin classification: "The optimization problem is then trading off how fat it can make the margin versus how many points have to be moved around to allow this margin. The margin can be less than 1 for a point by setting , but then one pays a penalty of in the minimization for having done that."

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Syndicated 2013-07-13 04:38:00 from sness

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