文件列表:

LICENSE.txt (34520, 2018-11-17)
configuration.ini (283, 2018-11-17)
evolution.proto (877, 2018-11-17)
kernels.cu (8902, 2018-11-17)
main_cpu.go (50320, 2018-11-17)
main_gpu.go (40045, 2018-11-17)
main_test.go (3569, 2018-11-17)
operators_effects.go (41714, 2018-11-17)
pb (0, 2018-11-17)
pb\evolution.pb.go (10417, 2018-11-17)
runner (0, 2018-11-17)
runner\autorun (0, 2018-11-17)
runner\autorun\__init__.py (0, 2018-11-17)
runner\autorun\reporter.py (36181, 2018-11-17)
runner\autorun\runner.py (32658, 2018-11-17)
runner\setup.py (470, 2018-11-17)
runner\tests (0, 2018-11-17)
runner\tests\__init__.py (0, 2018-11-17)
runner\tests\test_reporter.py (515, 2018-11-17)
runner\tests\test_runner.py (7030, 2018-11-17)

# go-gsgp Geometric Semantic Genetic Programming ported to Go The original code (by Mauro Castelli) is available at http://gsgp.sf.net This version is compatible with the version 1.0 and features: - shorter, safer Go code; - better reading of configuration files; - better handing of command line arguments. # Building To generate protobuf code, get protobuf on your host, then go get github.com/golang/protobuf/protoc-gen-go To include git version number, compile using: go build -ldflags "-X main.gitCommit=`git describe --long --dirty --tags --always`" The commit will show up when running with `-version` flag. # Usage go get github.com/akiross/go-gsgp $GOPATH/bin/go-gsgp -train_file train_dataset -test_file test_dataset To change parameters, edit the `configuration.ini` file. The train and test files have the following format: n_VARS m_EXAMPLES V11 V12 V3 ... V1n T V21 V22 V3 ... V2n T ... Vm1 Vm2 V3 ... Vmn T Where, the first line contains the number `n` of variables, the second line contains the number `m` of cases in the dataset. Then, follow `m` lines of `n+1` space-separated columns, where the last column is the target value. # Initialization via semantic feeding Instead of randomly generating all the initial individuals, and computing their semantic, it is possible to feed some pre-computed semantics via files. To do so, provide a list of files as positional arguments to the program: $ go-gsgp [options] semantic1 semantic2 ... semanticN The files consist in a semantic vector with one value per line. The file shall contain the semantic values for the training set followed by the test values.

近期下载者：

相关文件：

评论：[我要评论] [举报此文件]

收藏者：