Dapper Dataflow Engine 0.95 (Default branch)


 
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Special Forums UNIX and Linux Applications Virtualization and Cloud Computing Dapper Dataflow Engine 0.95 (Default branch)
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Old 12-31-2008
Dapper Dataflow Engine 0.95 (Default branch)

Image 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. License: GNU Lesser General Public License (LGPL) Changes:
A new, flexible logging infrastructure has been added. Initializers for logging structures have been moved out of the Server and Client classes and into drivers. Finite state machines have been updated to the new annotation-driven API. The source code has been normalized to have 8 spaces instead of tabs. Image

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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)