Result:
found more than 397 distributions - search limited to the first 2001 files matching your query
( run in 0.863 )
AI-Genetic-Pro
view release on metacpan or search on metacpan
lib/AI/Genetic/Pro.pm view on Meta::CPAN
#-------------------------------------------------------------------
$AI::Genetic::Pro::Array::Type::Native = 1 if $self->native;
#-------------------------------------------------------------------
croak(q/Type of chromosomes cannot be "combination" if "variable length" feature is active!/)
if $self->type eq q/combination/ and $self->variable_length;
croak(q/You must specify a crossover strategy with -strategy!/)
unless defined ($self->strategy);
croak(q/Type of chromosomes cannot be "combination" if strategy is not one of: OX, PMX!/)
if $self->type eq q/combination/ and ($self->strategy->[0] ne q/OX/ and $self->strategy->[0] ne q/PMX/);
croak(q/Strategy cannot be "/,$self->strategy->[0],q/" if "variable length" feature is active!/ )
if ($self->strategy->[0] eq 'PMX' or $self->strategy->[0] eq 'OX') and $self->variable_length;
#-------------------------------------------------------------------
$self->_set_strict if $self->strict;
lib/AI/Genetic/Pro.pm view on Meta::CPAN
=item Advanced options
To provide more flexibility C<AI::Genetic::Pro> supports many
statistical distributions, such as C<uniform>, C<natural>, C<chi_square>
and others. This feature can be used in selection and/or crossover. See
the documentation below.
=back
=head1 METHODS
AI-Image
view release on metacpan or search on metacpan
lib/AI/Image.pm view on Meta::CPAN
Ian Boddison <ian at boddison.com>
=head1 BUGS
Please report any bugs or feature requests to C<bug-ai-image at rt.cpan.org>, or through
the web interface at L<https://rt.cpan.org/NoAuth/ReportBug.html?Queue=bug-ai-image>. I will be notified, and then you'll
automatically be notified of progress on your bug as I make changes.
=head1 SUPPORT
AI-LibNeural
view release on metacpan or search on metacpan
==========================
This module provides access to the c++ library libneural.
(http://ieee.uow.edu.au/~daniel/software/libneural/ or search for libneural on
freshmeat.net.) libneural is a simple, but useful, backpropagation neural
network. It isn't packed with features or a speed demon, but it works and it's
easy to learn how to use.
INSTALLATION
> perl Makefile.PL
AI-MXNet-Gluon-ModelZoo
view release on metacpan or search on metacpan
lib/AI/MXNet/Gluon/ModelZoo/Vision/AlexNet.pm view on Meta::CPAN
sub BUILD
{
my $self = shift;
$self->name_scope(sub {
$self->features(nn->HybridSequential(prefix=>''));
$self->features->name_scope(sub {
$self->features->add(nn->Conv2D(64, kernel_size=>11, strides=>4,
padding=>2, activation=>'relu'));
$self->features->add(nn->MaxPool2D(pool_size=>3, strides=>2));
$self->features->add(nn->Conv2D(192, kernel_size=>5, padding=>2,
activation=>'relu'));
$self->features->add(nn->MaxPool2D(pool_size=>3, strides=>2));
$self->features->add(nn->Conv2D(384, kernel_size=>3, padding=>1,
activation=>'relu'));
$self->features->add(nn->Conv2D(256, kernel_size=>3, padding=>1,
activation=>'relu'));
$self->features->add(nn->Conv2D(256, kernel_size=>3, padding=>1,
activation=>'relu'));
$self->features->add(nn->MaxPool2D(pool_size=>3, strides=>2));
$self->features->add(nn->Flatten());
$self->features->add(nn->Dense(4096, activation=>'relu'));
$self->features->add(nn->Dropout(0.5));
$self->features->add(nn->Dense(4096, activation=>'relu'));
$self->features->add(nn->Dropout(0.5));
});
$self->output(nn->Dense($self->classes));
});
}
method hybrid_forward(GluonClass $F, GluonInput $x)
{
$x = $self->features->($x);
$x = $self->output->($x);
return $x;
}
package AI::MXNet::Gluon::ModelZoo::Vision;
AI-MXNet
view release on metacpan or search on metacpan
lib/AI/MXNet.pm view on Meta::CPAN
Perl interface to MXNet machine learning library.
=head1 BUGS AND INCOMPATIBILITIES
Parity with Python inteface is mostly achieved, few deprecated
and not often used features left unported for now.
=head1 SEE ALSO
http://mxnet.io/
https://github.com/dmlc/mxnet/tree/master/perl-package
AI-MaxEntropy
view release on metacpan or search on metacpan
inc/Module/AutoInstall.pm view on Meta::CPAN
use vars qw{$VERSION};
BEGIN {
$VERSION = '1.03';
}
# special map on pre-defined feature sets
my %FeatureMap = (
'' => 'Core Features', # XXX: deprecated
'-core' => 'Core Features',
);
inc/Module/AutoInstall.pm view on Meta::CPAN
map { +{@args}->{$_} }
grep { /^[^\-]/ or /^-core$/i } keys %{ +{@args} }
)[0]
);
while ( my ( $feature, $modules ) = splice( @args, 0, 2 ) ) {
my ( @required, @tests, @skiptests );
my $default = 1;
my $conflict = 0;
if ( $feature =~ m/^-(\w+)$/ ) {
my $option = lc($1);
# check for a newer version of myself
_update_to( $modules, @_ ) and return if $option eq 'version';
# sets CPAN configuration options
$Config = $modules if $option eq 'config';
# promote every features to core status
$core_all = ( $modules =~ /^all$/i ) and next
if $option eq 'core';
next unless $option eq 'core';
}
print "[" . ( $FeatureMap{ lc($feature) } || $feature ) . "]\n";
$modules = [ %{$modules} ] if UNIVERSAL::isa( $modules, 'HASH' );
unshift @$modules, -default => &{ shift(@$modules) }
if ( ref( $modules->[0] ) eq 'CODE' ); # XXX: bugward combatability
inc/Module/AutoInstall.pm view on Meta::CPAN
}
}
next unless @required;
my $mandatory = ( $feature eq '-core' or $core_all );
if (
!$SkipInstall
and (
$CheckOnly
inc/Module/AutoInstall.pm view on Meta::CPAN
ExtUtils::MakeMaker::WriteMakefile(%args);
print << "." unless $PostambleUsed;
*** WARNING: Makefile written with customized MY::postamble() without
including contents from Module::AutoInstall::postamble() --
auto installation features disabled. Please contact the author.
.
return 1;
}
AI-MegaHAL
view release on metacpan or search on metacpan
http://www.sourceforge.net/projects/megahal/
http://megahal.sourceforge.net/
)
To read about the latest features, see the Changes file.
The author invites feedback on AI::MegaHAL. If you find a bug, please send the
information described in the BUGS section below.
AI-MicroStructure
view release on metacpan or search on metacpan
t/canned/docs/logic.pm view on Meta::CPAN
logic
mental_object
modal_logic
noesis
philosophy
psychological_feature
study
subject
subject_area
subject_field
AI-NNVMCAPI
view release on metacpan or search on metacpan
*/
int NNGraphGetSymbol(GraphHandle graph, SymbolHandle *out);
/*!
* \brief Get Set a attribute in json format.
* This feature allows pass graph attributes back and forth in reasonable speed.
*
* \param handle The graph handle.
* \param key The key to the attribute.
* \param json_value The value need to be in format [type_name, value],
* Where type_name is a registered type string in C++ side via DMLC_JSON_ENABLE_ANY.
const char* json_value);
/*!
* \brief Get a serialized attrirbute from graph.
* This feature allows pass graph attributes back and forth in reasonable speed.
*
* \param handle The graph handle.
* \param key The key to the attribute.
* \param json_out The result attribute, can be NULL if the attribute do not exist.
* The json_out is an array of [type_name, value].
const char** out,
int *out);
/*!
* \brief Set a attribute whose type is std::vector<NodeEntry> in c++
* This feature allows pass List of symbolic variables for gradient request.
*
* \note This is beta feature only used for test purpos
*
* \param handle The graph handle.
* \param key The key to the attribute.
* \param list The symbol whose outputs represents the list of NodeEntry to be passed.
* \return 0 when success, -1 when failure happens
AI-NaiveBayes
view release on metacpan or search on metacpan
lib/AI/NaiveBayes.pm view on Meta::CPAN
my $m = $self->model;
# Note that we're using the log(prob) here. That's why we add instead of multiply.
my %scores = %{$m->{prior_probs}};
my %features;
while (my ($feature, $value) = each %$newattrs) {
next unless exists $m->{attributes}{$feature}; # Ignore totally unseen features
while (my ($label, $attributes) = each %{$m->{probs}}) {
my $score = ($attributes->{$feature} || $m->{smoother}{$label})*$value; # P($feature|$label)**$value
$scores{$label} += $score;
$features{$feature}{$label} = $score;
}
}
rescale(\%scores);
return AI::NaiveBayes::Classification->new( label_sums => \%scores, features => \%features );
}
sub rescale {
my ($scores) = @_;
lib/AI/NaiveBayes.pm view on Meta::CPAN
},
labels => ['vampire']
},
);
# Classify a feature vector
my $result = $classifier->classify({bar => 3, blurp => 2});
# $result is now a AI::NaiveBayes::Classification object
my $best_category = $result->best_category;
=head1 DESCRIPTION
This module implements the classic "Naive Bayes" machine learning
algorithm. This is a low level class that accepts only pre-computed feature-vectors
as input, see L<AI::Classifier::Text> for a text classifier that uses
this class.
Creation of C<AI::NaiveBayes> classifier object out of training
data is done by L<AI::NaiveBayes::Learner>. For quick start
lib/AI/NaiveBayes.pm view on Meta::CPAN
Arguments are passed to the C<add_example> method of the L<AI::NaiveBayes::Learner>
object one by one.
=item classify( HASHREF )
Classifies a feature-vector of the form:
{ feature1 => weight1, feature2 => weight2, ... }
The result is a C<AI::NaiveBayes::Classification> object.
=item rescale
AI-NeuralNet-BackProp
view release on metacpan or search on metacpan
BackProp.pm view on Meta::CPAN
=head1 UPDATES
This is version 0.89. In this version I have included a new feature, output range limits, as
well as automatic crunching of run() and learn*() inputs. Included in the examples directory
are seven new practical-use example scripts. Also implemented in this version is a much cleaner
learning function for individual neurons which is more accurate than previous verions and is
based on the LMS rule. See range() for information on output range limits. I have also updated
the load() and save() methods so that they do not depend on Storable anymore. In this version
AI-NeuralNet-Hopfield
view release on metacpan or search on metacpan
lib/AI/NeuralNet/Hopfield.pm view on Meta::CPAN
Felipe da Veiga Leprevost, C<< <leprevost at cpan.org> >>
=head1 BUGS
Please report any bugs or feature requests to C<bug-ai-neuralnet-hopfield at rt.cpan.org>, or through
the web interface at L<http://rt.cpan.org/NoAuth/ReportBug.html?Queue=AI-NeuralNet-Hopfield>. I will be notified, and then you'll
automatically be notified of progress on your bug as I make changes.
=head1 SUPPORT
AI-NeuralNet-Kohonen
view release on metacpan or search on metacpan
lib/AI/NeuralNet/Kohonen.pm view on Meta::CPAN
=item map_dim_x
=item map_dim_y
The dimensions of the feature map to create - defaults to a toy 19.
(note: this is Perl indexing, starting at zero).
=item epochs
Number of epochs to run for (see L<METHOD train>).
AI-NeuralNet-Mesh
view release on metacpan or search on metacpan
- Increased learning speed
- Better connection topology
0.31 Fri Aug 25 05:10:11 20000
- Second release, by Josiah Bryan
- 3 Major features:
- seperate layer sizes
- custom node activations
- increased learning speed
0.43 Wed Sep 14 03:13:01 20000
AI-NeuralNet-SOM
view release on metacpan or search on metacpan
- added output_dim method
- added ::Torus subclass of ::Rect
0.02 Sa 9. Jun 17:55:23 CEST 2007
- split ::SOM.pm into ::SOM::Rect and ::SOM::Hexa
- added more features for initialization
- factored out vector computation into ::SOM::Utils
0.01 Wed Jun 6 01:08:34 2007
- original version; created by h2xs 1.23 with options
-n AI::NeuralNet::SOM -X --use-new-tests
AI-Ollama-Client
view release on metacpan or search on metacpan
(4) You may Distribute your Modified Version as Source (either gratis
or for a Distributor Fee, and with or without a Compiled form of the
Modified Version) provided that you clearly document how it differs
from the Standard Version, including, but not limited to, documenting
any non-standard features, executables, or modules, and provided that
you do at least ONE of the following:
(a) make the Modified Version available to the Copyright Holder
of the Standard Version, under the Original License, so that the
Copyright Holder may include your modifications in the Standard
AI-ParticleSwarmOptimization
view release on metacpan or search on metacpan
lib/AI/ParticleSwarmOptimization.pm view on Meta::CPAN
=back
=head1 BUGS
Please report any bugs or feature requests to C<bug-AI-ParticleSwarmOptimization
at rt.cpan.org>, or through the web interface at
L<http://rt.cpan.org/NoAuth/ReportBug.html?Queue=AI-ParticleSwarmOptimization>.
I will be notified, and then you'll automatically be notified of progress on
your bug as I make changes.
AI-Pathfinding-AStar-Rectangle
view release on metacpan or search on metacpan
The result will usually be a list of patches suggesting changes
that should at least be acceptable, if not necessarily the most
efficient solution, or a fix for all possible problems.
If you know that your XS module uses features only available in
newer Perl releases, if you're aware that it uses C++ comments,
and if you want all suggestions as a single patch file, you could
use something like this:
perl ppport.h --compat-version=5.6.0 --cplusplus --patch=test.diff
eval_sv|5.006000||p
exec_failed|||
expect_number|||
fbm_compile||5.005000|
fbm_instr||5.005000|
feature_is_enabled|||
fetch_cop_label||5.011000|
filter_add|||
filter_del|||
filter_gets|||
filter_read|||
AI-Pathfinding-OptimizeMultiple
view release on metacpan or search on metacpan
lib/AI/Pathfinding/OptimizeMultiple.pm view on Meta::CPAN
=back
=head2 Bugs / Feature Requests
Please report any bugs or feature requests by email to C<bug-ai-pathfinding-optimizemultiple at rt.cpan.org>, or through
the web interface at L<https://rt.cpan.org/Public/Bug/Report.html?Queue=AI-Pathfinding-OptimizeMultiple>. You will be automatically notified of any
progress on the request by the system.
=head2 Source Code
lib/AI/Pathfinding/OptimizeMultiple.pm view on Meta::CPAN
Shlomi Fish <shlomif@cpan.org>
=head1 BUGS
Please report any bugs or feature requests on the bugtracker website
L<https://github.com/shlomif/fc-solve/issues>
When submitting a bug or request, please include a test-file or a
patch to an existing test-file that illustrates the bug or desired
feature.
=head1 COPYRIGHT AND LICENSE
This software is Copyright (c) 2012 by Shlomi Fish.
AI-Pathfinding-SMAstar
view release on metacpan or search on metacpan
lib/AI/Pathfinding/SMAstar.pm view on Meta::CPAN
=head2 EXAMPLE
##################################################################
#
# This example uses a hypothetical object called FrontierObj, and
# shows the functions that the FrontierObj class must feature in
# order to perform a path-search in a solution space populated by
# FrontierObj objects.
#
##################################################################
AI-Perceptron-Simple
view release on metacpan or search on metacpan
lib/AI/Perceptron/Simple.pm view on Meta::CPAN
=item * Clean up and refactor source codes
=item * Add more useful data for confusion matrix
=item * Implement shuffling data feature
=item * Implement fast/smart training feature
=item * Write a tutorial or something for this module
=item * and something yet to be known...
lib/AI/Perceptron/Simple.pm view on Meta::CPAN
Raphael Jong Jun Jie, C<< <ellednera at cpan.org> >>
=head1 BUGS
Please report any bugs or feature requests to C<bug-ai-perceptron-simple at rt.cpan.org>, or through
the web interface at L<https://rt.cpan.org/NoAuth/ReportBug.html?Queue=AI-Perceptron-Simple>. I will be notified, and then you'll
automatically be notified of progress on your bug as I make changes.
=head1 SUPPORT
AI-Prolog
view release on metacpan or search on metacpan
lib/AI/Prolog.pm view on Meta::CPAN
This work is based on W-Prolog, L<http://goanna.cs.rmit.edu.au/~winikoff/wp/>,
by Dr. Michael Winikoff. Many thanks to Dr. Winikoff for granting me
permission to port this.
Many features also borrowed from X-Prolog L<http://www.iro.umontreal.ca/~vaucher/XProlog/>
with Dr. Jean Vaucher's permission.
=head1 ACKNOWLEDGEMENTS
Patches and other help has also been provided by: Joshua ben Jore and
AI-TensorFlow-Libtensorflow
view release on metacpan or search on metacpan
lib/AI/TensorFlow/Libtensorflow/Lib.pm view on Meta::CPAN
# ABSTRACT: Private class for AI::TensorFlow::Libtensorflow
$AI::TensorFlow::Libtensorflow::Lib::VERSION = '0.0.7';
use strict;
use warnings;
use feature qw(state);
use FFI::CheckLib 0.28 qw( find_lib_or_die );
use Alien::Libtensorflow;
use FFI::Platypus;
use AI::TensorFlow::Libtensorflow::Lib::FFIType::Variant::PackableArrayRef;
use AI::TensorFlow::Libtensorflow::Lib::FFIType::Variant::PackableMaybeArrayRef;
AI-XGBoost
view release on metacpan or search on metacpan
examples/iris.pl view on Meta::CPAN
virginica => 2
);
my $iris = Data::Dataset::Classic::Iris::get();
# Split train and test, label and features
my $train_dataset = [map {$iris->{$_}} grep {$_ ne 'species'} keys %$iris];
my $test_dataset = [map {$iris->{$_}} grep {$_ ne 'species'} keys %$iris];
sub transpose {
# Transposing without using PDL, Data::Table, Data::Frame or other modules
AIIA-GMT
view release on metacpan or search on metacpan
The result will usually be a list of patches suggesting changes
that should at least be acceptable, if not necessarily the most
efficient solution, or a fix for all possible problems.
If you know that your XS module uses features only available in
newer Perl releases, if you're aware that it uses C++ comments,
and if you want all suggestions as a single patch file, you could
use something like this:
perl ppport.h --compat-version=5.6.0 --cplusplus --patch=test.diff
AIX-Perfstat
view release on metacpan or search on metacpan
The result will usually be a list of patches suggesting changes
that should at least be acceptable, if not necessarily the most
efficient solution, or a fix for all possible problems.
If you know that your XS module uses features only available in
newer Perl releases, if you're aware that it uses C++ comments,
and if you want all suggestions as a single patch file, you could
use something like this:
perl ppport.h --compat-version=5.6.0 --cplusplus --patch=test.diff
ALPM
view release on metacpan or search on metacpan
Read-only access is provided to the database. All transaction creation logic
was removed from this module. After each major pacman upgrade, and sub-
sequent libalpm API change, I would be forced to rewrite a majority of this
module. After the third or fourth time I decided it was not worth the effort
for a feature possibly no one uses in an obscure perl module no one knows
about.
If you really need transactions why not call pacman with "system" or
backticks? In contrast, complicated queries becomes ugly and convoluted
when calling pacman in shell scripts. With the aid of this module, queries
AMF-Connection
view release on metacpan or search on metacpan
examples/get-brightcove-videos-metadata.pl view on Meta::CPAN
'optimizeFeaturedContent' => 1,
'lineupRefId' => undef,
'lineupId' => undef,
'videoRefId' => undef,
'videoId' => $videoId, # param 2 - videoId
'featuredLineupFetchInfo' => {
'fetchLevelEnum' => '4',
'contentType' => 'VideoLineup',
'childLimit' => '100'
}
}
AMF-Perl
view release on metacpan or search on metacpan
doc/examples/petmarket/petmarket/api/cartservice.pm view on Meta::CPAN
my @columns = ("shippingoid", "shippingname", "shippingdescription", "shippingprice", "shippingdays");
my @names = ("Ground", "2nd Day Air", "Next Day Air", "3 Day Select");
my @descriptions = (
"Prompt, dependable, low-cost ground delivery makes Ground an excellent choice for all your routine shipments. Ground reaches every address throughout the 48 contiguous states.",
"2nd Day Air provides guaranteed on-time delivery to every address throughout the United States (excluding intra-Alaska shipments) and Puerto Rico by the end of the second business day. This service is an economical alternative for time-sensi...
"Next Day Air features fast, reliable delivery to every address in all 50 states and Puerto Rico. We guarantee delivery by 10:30 a.m., noon, or end of day the next business day depending on destination (noon or 1:30 p.m. on Saturdays).",
"The ideal mix of economy and guaranteed on-time delivery, 3 Day Select guarantees delivery within three business days to and from every address in the 48 contiguous states."
);
my @prices = (13.00, 26.00, 39.00, 18.00);
my @days = (6, 2, 1, 3);
AMPR-Rip44
view release on metacpan or search on metacpan
lib/AMPR/Rip44.pm view on Meta::CPAN
Heikki Hannikainen, OH7LZB, C<< <hessu at hes.iki.fi> >>
=head1 BUGS
Please report any bugs or feature requests to C<bug-ampr-rip44 at rt.cpan.org>, or through
the web interface at L<http://rt.cpan.org/NoAuth/ReportBug.html?Queue=AMPR-Rip44>. I will be notified, and then you'll
automatically be notified of progress on your bug as I make changes.
( run in 0.863 second using v1.01-cache-2.11-cpan-a5abf4f5562 )