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Special Forums News, Links, Events and Announcements Software Releases - RSS News openModeller 0.7.0 (Default branch)
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Old 02-02-2009
openModeller 0.7.0 (Default branch)
openModeller is a C++ framework providing a uniform method to model distribution patterns using a variety of algorithms. It can be used to predict species potential distribution based on a set of georeferenced occurrence points and a set of environmental layers. License: GNU General Public License (GPL) Changes:
This release includes a new algorithm using Artificial Neural Networks, support for generating distribution maps in ARC/Info ASCII grid format, and changes in the ROC Curve class. Image

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LEARN ABOUT DEBIAN

liblinear-predict

LIBLINEAR-PREDICT(1)					      General Commands Manual					      LIBLINEAR-PREDICT(1)

NAME

       liblinear-predict - Make predictions based on a trained linear classifier model

SYNOPSIS

       linear-predict [options] test_file model_file output_file

DESCRIPTION

       liblinear-predict  uses the linear classifier model-file to make predictions for each of the samples in test_file and stores the results in
       output_file.

OPTIONS

       A summary of options is included below.

       -b (0|1)
	      Whether to output probability estimates or not (default: 0)

EXAMPLES

       Train a linear SVM using L2-loss function with linear-train(1):

		  liblinear-train data_file

       Output probability estimates (for logistic regression only):

		  liblinear-predict -b 1 test_file data_file.model output_file

SEE ALSO

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

AUTHORS

       liblinear-predict was written by the LIBLINEAR authors at National Taiwan university for the LIBLINEAR Project.

       This manual page was written by Christian Kastner <debian@kvr.at>, for the Debian project (and may be used by others).

								  March 08, 2011					      LIBLINEAR-PREDICT(1)