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AI-Image
view release on metacpan or search on metacpan
t/pod-coverage.t view on Meta::CPAN
eval "use Test::Pod::Coverage $min_tpc";
plan skip_all => "Test::Pod::Coverage $min_tpc required for testing POD coverage"
if $@;
# Test::Pod::Coverage doesn't require a minimum Pod::Coverage version,
# but older versions don't recognize some common documentation styles
my $min_pc = 0.18;
eval "use Pod::Coverage $min_pc";
plan skip_all => "Pod::Coverage $min_pc required for testing POD coverage"
if $@;
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AI-ML
view release on metacpan or search on metacpan
lib/AI/ML/Expr.pm view on Meta::CPAN
);
my $points = Chart::Gnuplot::DataSet->new(
xdata => \@xdata,
ydata => \@ydata,
style => "points"
);
my $func = Chart::Gnuplot::DataSet->new(
func => $f
);
lib/AI/ML/Expr.pm view on Meta::CPAN
);
$chart->png;
my $data = Chart::Gnuplot::DataSet->new(
xdata => \@iters,
ydata => \@costs,
style => "linespoints"
);
$chart->plot2d($data);
}
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AI-MXNet
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lib/AI/MXNet/Base.pm view on Meta::CPAN
return wantarray ? @_ : $_[0];
}
=head2 build_param_doc
Builds argument docs in python style.
arg_names : array ref of str
Argument names.
arg_types : array ref of str
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AI-MaxEntropy
view release on metacpan or search on metacpan
- rewrite the log likelihood evaluation and smoothing by C, now
the ME learner should run more than 10 times faster than the
previous version
- add a new module AI::MaxEntropy::Util, which provides some
utilities for doing experiments with ME learners
- AI::MaxEntropy::see now accepts attribute-value style samples
- include Algorithm::Diff in the distribution for testing
0.02 Thu Feb 7 11:26:00 2008
- some tiny corrections :-P
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