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From: Johan Råde (rade_at_[hidden])
Date: 2008-05-02 15:19:05
ajay gopalakrishnan wrote:
> I work mainly in Machine Learning & Data Mining and this job mainly
> requires me to write very efficient and fast code for numerical
> processing programs as well as do a lot of data, especially text
> preprocessing. It would be great if you cant point to me some good
> packages in Boost for the following tasks. Packages that are very good
> and don't have a very steep learning curve.
> * Text Parsing. package that lets me do something like what Sed and
> Awk can do.
Take a look at Boost.Regex and Boost.Spirit.
> * Linear Algebra - Eigen analysis, matrix operations, Matrix
> decomposition etc.
There is Boost.uBLAS. But frankly, I don't like uBLAS.
I use my own generic C++ wrapper around Intel MKL and VecLib.
> * Optimization routines - Linear programming , Quadratic Programming etc.
> * HTML, XML parsing etc.
Boost does not have much to offer in these areas.
Unfortunately most Boost libraries are written by a single person.
The Boost culture does not seem to encourage collaborations.
And these areas would require teams of several developers to get something useful done.
---- Also, do take a look at smart pointers, bind, function, filesystem, format and thread. They solve a lot of general software development problems. You mentioned data mining. If you do statistical analysis of data, then you will need Boost.Math.Statistical Distributions. HTH, Johan Råde
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