Thursday, March 29, 2007

Help For Manchester Access Programme

Genetic Algorithms for Ruby (gga4r) release

This
  • week I am attending the DEISA training sessions in Barcelona, \u200b\u200bwhere we teach how to perform tasks on a network with the most powerful supercomputers in Europe (DEISA architecture
  • ). These supercomputers is the Marenostrum
  • , on today is the most powerful computer in Europe and the fifth most powerful in the world according

    www.top500.org . Consists of 10,240 PowerPC CPUs, 20 Terabytes of memory and 370 terabytes of disk ... It is located in a former chapel which gives a special charm.


    More pictures: http:// www.flickr.com/photos/spejman/tags/marenostrum/

    Wednesday, March 28, 2007

    Eyelash Extensions Cost

    Release 0.9 template!



    Weka is a library of machine learning algorithms for data mining tasks (data mining). It also includes a powerful graphical environment useful. The idea is that we must choose an algorithm, train, save the model generated from this training and use it to classify the data we want.

      Training: Once chosen the algorithm (in our case we use a decision tree
      weka.classifiers.trees.J48
    1. ) model created by training the tree with the training data:
      1. java-Xmx [MEGABYTES_DE_MEM_PARA_LA_TAREA] M-cp [PATH_A_weka.jar] [ALGORITMO_DE_APRENDIZAJE + PARAMETERS]-t [FICHERO_ENTRENAMIENTO]-d [FICHERO_DONDE_SE_GUARDA_EL_MODELO]
        For example: java-
          
        Xmx1024M-cp / opt/weka-3-4-9/weka.jar weka.classifiers.trees.J48 -C 0.25-M 2-t-d rweka.model
        rweka.arff

      2. Rating: With the model generated in the previous step for sorting data and execute:
          java-Xmx [MEGABYTES_DE_MEM_PARA_LA_TAREA] M -cp [PATH_A_weka.jar] [ALGORITMO_DE_APRENDIZAJE]-l [FICHERO_CON_EL_MODELO]-T [FICHERO_A_CLASIFICAR]-p 0  

        In my case:
      3. Xmx1024M-java-cp / opt/weka-3-4-9/weka . jar weka.classifiers.trees.J48 Rweka.model-T-l-p 0
        rweka.arff
          This step will return to the standard output the classification of each element of the file in a line with the number of this element first, followed by the class assigned algorithm and additional information: 
        [NÚMERO_ELEMENTO] [CLASE_ASIGNADA] [CONFIANZA_EN_LA_RESPUESTA] [CLASE_REAL]
        Notes:
    2. Files with the training data and classification must be in ARFF format
    3. .

      1.  
        
        

    Thursday, March 15, 2007

    Ice Skating Bottom Foot Pain

    To comment on what you do not let you sleep ... Benjamins


    A bro this thread for what opineis OS win on any subject ... to see if anyone is encouraged .
    N or forget to leave your opinion in " Comments ."

    D and anyway, often people do not want to "wet" and does not care what you think that if they offend your neighbor and learns ... but this means of communication is totally secure and no one has to provide data and signals of person. By this I mean that just by doing comment on any subject, no one has to feel uncomfortable about anything.

    Sunday, March 11, 2007

    Ho Do I Get Spider Solitare

    modified Hemingway Read and write Windows Vista partition from ubuntu edgy eft

    This is the configuration of capistrano to deploy an application on Site5 when we have the code in a repository subversion. Possibly be used in other shared servers with slight modifications. To write this post I have made a real deployment of an application, I have consulted the tutorial I found on http://www.thebitguru.com/articles/9-Setting+up+Capistrano+on+Site5 and I used the media
    technicians
  • Site5 who helped me during the process with a permissions issue that was on the server.
       
    (this point is specific Site5
  • ) request that you change the default shell to bash jailshell.

    Set the development environment: from a subdirectory of your application rails run cap - apply-to. This command will APP_NAME
    : config exists
    display the URL of the subversion repository:

    set: repository, "svn + ssh: / / USER @ DOMAIN / RUTA_DEL_REPOSITORIO" Put the addresses of each role in your application (web, app, db) . Typically only used: web and: app by putting the domain name (eg "bee.com.es").

    Uncomment the line "deploy_set" indicating the correct path to the subdirectory on the server where you want to install the application, eg
    set: deploy_to, "/ home / TU_USERNAME / apps / # {application}"
    If Marenostrum the username the server is different from that of the machine from which you will use capistrano, uncomment the line "user" and put your username:

    set: user, "TU_USERNAME" Marenostrum
    Add the following capistrano tasks to bottom:
    desc "Link in the production database.yml and fix permissions" task Marenostrum Core: after_update_code do run "find # {release_path} / public -Type d-exec chmod 0755 {} \\ \\; "
    run" find # {release_path} / public-type f-exec chmod 0644 {} \\ \\; "
    run" chmod 0755 # {release_path} / public / dispatch. * " run" chmod 755 # {current_path} / public / dispatch.fcgi " run" touch # {current_path} / public / dispatch. fcgi " end





    Configure the server: Run from the root of the application setup command
    1. cap line Change public / .htaccess: RewriteRule
      Dispatch.cgi ^(.*)$ [QSA, L]
      by:
      RewriteRule ^(.*)$ dispatch.fcgi [QSA, L] Note that

      only change the extension. Cgi by. Fcgi

      Ready! now to deploy your application just run from the root of the application
      cap deploy command

    2. Possible errors:

      If the protocol in your subversion repository is svn + ssh, ie you have to use ssh ask you to make perimiter ssh from the server because by default it is disabled.