Re: Digest for graphlabapi@googlegroups.com - 4 Messages in 3 Topics

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xu jian

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May 7, 2013, 8:27:09 PM5/7/13
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2013/4/19 <graph...@googlegroups.com>

Group: http://groups.google.com/group/graphlabapi/topics

    Alex <alext...@gmail.com> Apr 19 01:53AM -0500  

    Hi,
     
    I get this error when I use std::unordered_map.
     
    /usr/include/c++/4.6/bits/c++0x_warning.h:32:2: error: #error This file
    requires compiler and library support for the upcoming ISO C++ standard,
    C++0x. This support is currently experimental, and must be enabled with the
    -std=c++0x or -std=gnu++0x compiler options
     
    How do I overcome this error?
     
    Thanks,
    Alex
     
     
    On Mon, Mar 25, 2013 at 2:02 AM, Joseph Gonzalez <jego...@eecs.berkeley.edu

     

    Chengi Liu <chengi...@gmail.com> Apr 17 11:46PM -0700  

    Yeah,
    I mean.. I have a constructive criticism for graphlab team. I am a noob
    in front of you guys..
    You guys have to admit that both the current algorithms and the programming
    style are quite sophisticated.
    Baring CF toolkit (which has been popular because of netflix prize), as an
    average "Joe", first I have to search the algorithm, and then you have a
    distributed implementation where there is no documentation (except
    references to again a very dense publication) and the option is to read the
    code which is not that bad except it is because you guys are great coders
    and your C++ code is also very dense.
    So, why I asked this question is if you have something like Logistic/Linear
    Regression out there, that is one less "dense" publication to read.
     
    Also,it would greatly help me (us) if in the documentation you can include
    how a particular algorithm can be implemented in GAS abstraction.
    For
    example: https://cwiki.apache.org/confluence/display/MAHOUT/Logistic+Regression
    or maybe have a simple plain vanilla implementation without any crazy
    optimization for some basic algorithms.
     
    But let me just say, how much appreciative I am for you guys to develop
    this awesome opensource project.
    Thanks
    On Monday, April 15, 2013 4:36:52 PM UTC-7, Chengi Liu wrote:

     

    Yucheng Low <yl...@cs.cmu.edu> Apr 18 09:09AM -0700  

    We do have rather extensive documentation here: http://docs.graphlab.org/ .
    The code in toolkits/ tend to quite a bit more optimized (thus less readable). But for some stuff there are simpler versions (i.e. simple_undirected_triangle_count), or in demoapps/simple_pagerank which are quite heavily commented to be readable.
     
    Instead of Logistic Regression / Linear Regression, our "simple" case is PageRank, for which we do have a walkthrough here:
    http://docs.graphlab.org/using_graphlab.html
     
    Yucheng
     
     

     

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