Dapper Distributed Dataflow Engine 0.91 (Default branch)

Tags

Special Forums UNIX and Linux Applications Virtualization and Cloud Computing Dapper Distributed Dataflow Engine 0.91 (Default branch)

08-08-2008

Registered User

26,240, 27

Join Date: Sep 2000

Last Activity: 1 August 2008, 3:09 PM EDT

Posts: 26,240

Thanks Given: 0

Thanked 27 Times in 26 Posts

Dapper Distributed Dataflow Engine 0.91 (Default branch)

Dapper, or "Distributed and Parallel Program Execution Runtime", is a tool for taming the complexities of developing for large-scale cloud and grid computing, enabling the user to create distributed computations from the essentials: the code that will execute, along with a dataflow graph description. It supports rich execution semantics, carefree deployment, a robust control protocol, modification of the dataflow graph at runtime, and an intuitive user interface.

More...

Linux Bot

View Public Profile for Linux Bot

Find all posts by Linux Bot

Previous Thread | Next Thread

2 More Discussions You Might Find Interesting

1. Virtualization and Cloud Computing

Dapper Dataflow Engine 0.95 (Default branch)

http://c.fsdn.com/fm/screenshots/69890_thumb.png Dapper, or "Distributed and Parallel Program Execution Runtime", is a tool for taming the complexities of developing for large-scale cloud and grid computing, enabling the user to create distributed computations from the essentials: the code that...

2. Virtualization and Cloud Computing

Dapper Dataflow Engine 0.92 (Default branch)

LEARN ABOUT DEBIAN

svm-grid

svm-grid(1)							   User Manuals 						       svm-grid(1)

NAME

       svm-grid - a parameter selection tool for LIBSVM

SYNOPSIS

       svm-grid  [-log2c  begin,end,step  ] [ -log2g begin,end,step ] [ -v fold ] [ -svmtrain pathname ] [ -gnuplot pathname ] [ -out pathname ] [
       -png pathname ] [ additional_parameters_for_svm-train ] dataset

DESCRIPTION

       grid.py is a parameter selection tool for C-SVM classification using the RBF (radial basis function) kernel. It uses cross validation  (CV)
       technique  to  estimate	the  accuracy of each parameter combination in the specified range and helps you to decide the best parameters for
       your problem.

FILES

       See svm-train(1) for the format of dataset

EXAMPLES

       svm-grid -log2c -5,5,1 -log2g -4,0,1 -v 5 -m 300 heart_scale

BUGS

       Please report bugs to the Debian BTS.

AUTHOR

       Chih-Chung Chang, Chih-Jen Lin <cjlin@csie.ntu.edu.tw>, Chen-Tse Tsai <ctse.tsai@gmail.com> (packaging)

SEE ALSO

       svm-train(1), svm-predict(1)

Linux								     DEC 2009							       svm-grid(1)

Virtualization and Cloud Computing