commit 5275fd50a2bb43770ebb92d5823424a2f92f9b4e · anil.recoil.org/opam-repository

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packages/svmwrap/svmwrap.5.0.0/opam
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       opam-version: "2.0"

     

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       authors: "Francois Berenger"

     

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       maintainer: "unixjunkie@sdf.org"

     

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       homepage: "https://github.com/UnixJunkie/svmwrap"

     

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       bug-reports: "https://github.com/UnixJunkie/svmwrap/issues"

     

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       dev-repo: "git+https://github.com/UnixJunkie/svmwrap.git"

     

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       license: "BSD-3-Clause"

     

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       build: ["dune" "build" "-p" name "-j" jobs]

     

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       depends: [

     

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         "base-unix"

     

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         "batteries"

     

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         "conf-libsvm-tools"

     

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         "cpm" {>= "11.0.0"}

     

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         "dolog" {>= "6.0.0"}

     

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         "dune" {>= "2.9"}

     

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         "minicli" {>= "5.0.0"}

     

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         "molenc" {>= "16.0.0"}

     

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         "parany" {>= "11.0.0"}

     

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         "line_oriented" {>= "1.2.0"}

     

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         "nlopt"

     

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         "dokeysto_camltc"

     

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       ]

     

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       # the software can compile and install without the depopts.

     

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       # however, some tools and options will not work anymore at run-time

     

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       depopts: [

     

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         "conf-gnuplot"

     

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       ]

     

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       synopsis: "Wrapper on top of libsvm-tools"

     

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       description: """

     

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       Svmwrap can be used to train/test regressors using libsvm-tools.

     

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       (Scary) usage:

     

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       usage: svmwrap

     

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         -i <filename>: training set or DB to screen

     

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         --feats <int>: number of features

     

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         [-o <filename>]: predictions output file

     

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         [-np <int>]: ncores

     

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         [--kernel <string>] choose kernel type {Lin|RBF|Sig|Pol}

     

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         [-c <float>]: fix C

     

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         [-e <float>]: epsilon in the loss function of epsilon-SVR;

     

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         (0 <= epsilon <= max_i(|y_i|))

     

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         [--nlopt <int>]: use NLopt with MAX_ITER (global optim.)

     

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         instead of grid-search (recommended: MAX_ITER >= 100)

     

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         [-g <float>]: fix gamma (for RBF and Sig kernels)

     

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         [-r <float>]: fix r for the Sig kernel

     

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         [--iwn]: turn ON instance-wise-normalization

     

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         [--scale]: turn ON [0:1] scaling (NOT PRODUCTION READY)

     

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         [--no-plot]: no gnuplot

     

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         [{-n|--NxCV} <int>]: folds of cross validation

     

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         [-q]: quiet

     

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         [-v|--verbose]: equivalent to not specifying -q

     

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         [--seed <int>]: fix random seed

     

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         [-p <float>]: training set portion (in [0.0:1.0])

     

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         [--pairs]: read from .AP files (atom pairs; will offset feat. indexes by 1)

     

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         [--train <train.liblin>]: training set (overrides -p)

     

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         [--valid <valid.liblin>]: validation set (overrides -p)

     

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         [--test <test.liblin>]: test set (overrides -p)

     

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         [{-l|--load} <filename>]: prod. mode; use trained models

     

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         [{-s|--save} <filename>]: train. mode; save trained models

     

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         [-f]: force overwriting existing model file

     

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         [--scan-c]: scan for best C

     

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         [--scan-e <int>]: epsilon scan #steps for SVR

     

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         [--scan-g]: scan for best gamma

     

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         [--regr]: regression (SVR); also, implied by -e and --scan-e

     

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         [--e-range <float>:<int>:<float>]: specific range for e

     

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         (semantic=start:nsteps:stop)

     

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         [--c-range <float,float,...>] explicit scan range for C 

     

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         (example='0.01,0.02,0.03')

     

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         [--g-range <float,float,...>] explicit range for gamma 

     

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         (example='0.01,0.02,0.03')

     

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         [--scan-k]: scan number of bags

     

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         [--k-range <int,int,...>] explicit scan range for k 

     

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         (example='1,2,3,5,10')

     

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         [-k <int>]: explicit value for k

     

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         [--r-range <float,float,...>] explicit range for r 

     

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         (example='0.01,0.02,0.03')

     

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       """

     

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       url {

     

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         src: "https://github.com/UnixJunkie/svmwrap/archive/v5.0.0.tar.gz"

     

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         checksum: "md5=3faf2d055599dba3375b3bcab57d060c"

     

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       }