Algorithm-LibLinear

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META.json  view on Meta::CPAN

{
   "abstract" : "A Perl binding for LIBLINEAR, a library for classification/regression using linear SVM and logistic regression.",
   "author" : [
      "Koichi SATO E<lt>sekia@cpan.orgE<gt>"
   ],
   "dynamic_config" : 1,
   "generated_by" : "Module::Build version 0.4231",
   "license" : [
      "mit"
   ],
   "meta-spec" : {
      "url" : "http://search.cpan.org/perldoc?CPAN::Meta::Spec",

META.yml  view on Meta::CPAN

---
abstract: 'A Perl binding for LIBLINEAR, a library for classification/regression using linear SVM and logistic regression.'
author:
  - 'Koichi SATO E<lt>sekia@cpan.orgE<gt>'
build_requires:
  ExtUtils::CBuilder: '0'
  Test::Deep: '0'
  Test::Exception: '0'
  Test::LeakTrace: '0'
  Test::More: '0'
configure_requires:
  Module::Build: '0.42'

README.pod  view on Meta::CPAN

=head1 NAME

Algorithm::LibLinear - A Perl binding for LIBLINEAR, a library for classification/regression using linear SVM and logistic regression.

=head1 SYNOPSIS

  use Algorithm::LibLinear;
  # Constructs a model for L2-regularized L2 loss support vector classification.
  my $learner = Algorithm::LibLinear->new(
    cost => 1,
    epsilon => 0.01,
    solver => 'L2R_L2LOSS_SVC',
    weights => [

README.pod  view on Meta::CPAN

=head1 SEE ALSO

L<Algorithm::LibLinear::DataSet>

L<Algorithm::LibLinear::FeatureScaling>

L<Algorithm::LibLinear::Model>

L<LIBLINEAR Homepage|http://www.csie.ntu.edu.tw/~cjlin/liblinear/>

L<Algorithm::SVM> - A Perl binding to LIBSVM.

=head1 LICENSE

=head2 Algorithm::LibLinear

Copyright (c) 2013-2023 Koichi SATO. All rights reserved.

The MIT License (MIT)

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modi...

lib/Algorithm/LibLinear.pm  view on Meta::CPAN

    [ map {
        +{ label => $labels->[$_], weight => $weights->[$_], }
    } 0 .. $#$labels ];
}

1;
__END__

=head1 NAME

Algorithm::LibLinear - A Perl binding for LIBLINEAR, a library for classification/regression using linear SVM and logistic regression.

=head1 SYNOPSIS

  use Algorithm::LibLinear;
  # Constructs a model for L2-regularized L2 loss support vector classification.
  my $learner = Algorithm::LibLinear->new(
    cost => 1,
    epsilon => 0.01,
    solver => 'L2R_L2LOSS_SVC',
    weights => [

lib/Algorithm/LibLinear.pm  view on Meta::CPAN

=head1 SEE ALSO

L<Algorithm::LibLinear::DataSet>

L<Algorithm::LibLinear::FeatureScaling>

L<Algorithm::LibLinear::Model>

L<LIBLINEAR Homepage|http://www.csie.ntu.edu.tw/~cjlin/liblinear/>

L<Algorithm::SVM> - A Perl binding to LIBSVM.

=head1 LICENSE

=head2 Algorithm::LibLinear

Copyright (c) 2013-2023 Koichi SATO. All rights reserved.

The MIT License (MIT)

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modi...