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AI-NNVMCAPI
view release on metacpan or search on metacpan
lib/AI/NNVMCAPI.pm view on Meta::CPAN
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
AI-NaiveBayes
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lib/AI/NaiveBayes.pm view on Meta::CPAN
use List::Util qw(max);
with Storage(format => 'Storable', io => 'File');
has model => (is => 'ro', isa => 'HashRef[HashRef]', required => 1);
sub train {
my $self = shift;
my $learner = AI::NaiveBayes::Learner->new();
for my $example ( @_ ){
AI-NaiveBayes1
view release on metacpan or search on metacpan
NaiveBayes1.pm view on Meta::CPAN
} # end of drop_attributes
sub add_instances {
my ($self, %params) = @_;
for ('attributes', 'label', 'cases') {
die "Missing required '$_' parameter" unless exists $params{$_};
}
if (scalar(keys(%{ $self->{stat_attributes} })) == 0) {
foreach my $a (keys(%{$params{attributes}})) {
$self->{stat_attributes}{$a} = {};
AI-Nerl
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lib/AI/Nerl.pm view on Meta::CPAN
has scale_input => (
is => 'ro',
isa => 'Num',
required => 0,
default => 0,
);
has l2 => ( #hidden layer.
is => 'ro',
isa => 'Num',
lib/AI/Nerl.pm view on Meta::CPAN
has [qw/ train_x
train_y /] => (
is => 'ro',
isa => 'PDL',
required => 0, #training can be done manually.
);
has [qw/ test_x cv_x
test_y cv_y /] => (
is => 'ro',
isa => 'PDL',
required => 0,
);
has network => (
required=>0,
is => 'rw',
isa => 'AI::Nerl::Network',
);
has passes=> (
lib/AI/Nerl.pm view on Meta::CPAN
);
has basis => (
is => 'ro',
isa => 'AI::Nerl',
required => 0,
);
#initialize $self->network, but don't train.
# any parameters AI::Nerl::Network takes are fine here.
sub init_network{
AI-NeuralNet-FastSOM
view release on metacpan or search on metacpan
t/orig/pods.t view on Meta::CPAN
use strict;
use Test::More;
eval "use Test::Pod 1.00";
plan skip_all => "Test::Pod 1.00 required for testing POD" if $@;
my @PODs = qw(
lib/AI/NeuralNet/FastSOM.pm
lib/AI/NeuralNet/FastSOM/Rect.pm
lib/AI/NeuralNet/FastSOM/Hexa.pm
AI-NeuralNet-Hopfield
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lib/AI/NeuralNet/Hopfield.pm view on Meta::CPAN
Versions is governed by this Artistic License. By using, modifying or
distributing the Package, you accept this license. Do not use, modify,
or distribute the Package, if you do not accept this license.
If your Modified Version has been derived from a Modified Version made
by someone other than you, you are nevertheless required to ensure that
your Modified Version complies with the requirements of this license.
This license does not grant you the right to use any trademark, service
mark, tradename, or logo of the Copyright Holder.
AI-NeuralNet-Mesh
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# Loads a CSV-like dataset from disk
#
# Usage:
# my $set = $set->load_set($file, $column, $seperator);
#
# Returns a data set of the same format as required by the
# learn_set() method. $file is the disk file to load set from.
# $column an optional variable specifying the column in the
# data set to use as the class attribute. $class defaults to 0.
# $seperator is an optional variable specifying the seperator
# character between values. $seperator defaults to ',' (a single comma).
=item $net->load_set($file,$column,$seperator);
Loads a CSV-like dataset from disk
Returns a data set of the same structure as required by the
learn_set() method. $file is the disk file to load set from.
$column an optional variable specifying the column in the
data set to use as the class attribute. $class defaults to 0.
$seperator is an optional variable specifying the seperator
character between values. $seperator defaults to ',' (a single comma).
AI-NeuralNet-SOM
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use strict;
use Test::More;
eval "use Test::Pod 1.00";
plan skip_all => "Test::Pod 1.00 required for testing POD" if $@;
my @PODs = qw(
lib/AI/NeuralNet/SOM.pm
lib/AI/NeuralNet/SOM/Rect.pm
lib/AI/NeuralNet/SOM/Hexa.pm
AI-NeuralNet-Simple
view release on metacpan or search on metacpan
t/pod-coverage.t view on Meta::CPAN
#!perl -T
use Test::More;
eval "use Test::Pod::Coverage 1.04";
plan $@
? (skip_all => "Test::Pod::Coverage 1.04 required for testing POD coverage")
: ( tests => 1 );
my $ignore = join '|' => qw(
STORABLE_freeze
STORABLE_thaw
AI-Ollama-Client
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lib/AI/Ollama/Client/Impl.pm view on Meta::CPAN
=cut
sub build_checkBlob_request( $self, %options ) {
croak "Missing required parameter 'digest'"
unless exists $options{ 'digest' };
my $method = 'HEAD';
my $template = URI::Template->new( '/blobs/{digest}' );
my $path = $template->process(
lib/AI/Ollama/Client/Impl.pm view on Meta::CPAN
=cut
sub build_createBlob_request( $self, %options ) {
croak "Missing required parameter 'digest'"
unless exists $options{ 'digest' };
my $method = 'POST';
my $template = URI::Template->new( '/blobs/{digest}' );
my $path = $template->process(
AI-PBDD
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licences/license.JBDD view on Meta::CPAN
freely, subject to the following restrictions:
1. The origin of this software must not be misrepresented; you must not
claim that you wrote the original software. If you use this software
in a product, an acknowledgment in the product documentation would be
appreciated but is not required.
2. Altered source versions must be plainly marked as such, and must not be
misrepresented as being the original software.
3. This notice may not be removed or altered from any source distribution.
Arash Vahidi (vahidi [at] users.sourceforge.net)
AI-PSO
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lib/AI/PSO.pm view on Meta::CPAN
truly independent and can take its own search path while still
incorporating good information from other particles. In this
particluar perl module, the user is able to choose from two
implementations of the algorithm. One is the original implementation
from I<Swarm Intelligence> which requires the definition of a
'random range' to which the two stochastic weights are required to
sum. The other implementation allows the user to define the weighting
of how much a particle follows its own path versus following its
peers. In both cases there is an element of randomness.
Solution convergence is quite fast once one particle becomes close to
AI-ParticleSwarmOptimization-MCE
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lib/AI/ParticleSwarmOptimization/MCE.pm view on Meta::CPAN
=item I<-workers>: positive number, optional
The number of workers (processes), that will be used during computations.
=item I<-dimensions>: positive number, required
The number of dimensions of the hypersurface being searched.
=item I<-exitFit>: number, optional
If provided I<-exitFit> allows early termination of optimize if the
fitness value becomes equal or less than I<-exitFit>.
=item I<-fitFunc>: required
I<-fitFunc> is a reference to the fitness function used by the search. If extra
parameters need to be passed to the fitness function an array ref may be used
with the code ref as the first array element and parameters to be passed into
the fitness function as following elements. User provided parameters are passed
AI-ParticleSwarmOptimization-Pmap
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lib/AI/ParticleSwarmOptimization/Pmap.pm view on Meta::CPAN
=item I<-workers>: positive number, optional
The number of workers (processes), that will be used during computations.
=item I<-dimensions>: positive number, required
The number of dimensions of the hypersurface being searched.
=item I<-exitFit>: number, optional
If provided I<-exitFit> allows early termination of optimize if the
fitness value becomes equal or less than I<-exitFit>.
=item I<-fitFunc>: required
I<-fitFunc> is a reference to the fitness function used by the search. If extra
parameters need to be passed to the fitness function an array ref may be used
with the code ref as the first array element and parameters to be passed into
the fitness function as following elements. User provided parameters are passed
AI-ParticleSwarmOptimization
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lib/AI/ParticleSwarmOptimization.pm view on Meta::CPAN
sub setParams {
my ($self, %params) = @_;
if (defined $params{-fitFunc}) {
# Process required parameters - -fitFunc and -dimensions
if ('ARRAY' eq ref $params{-fitFunc}) {
($self->{fitFunc}, @{$self->{fitParams}}) = @{$params{-fitFunc}};
} else {
$self->{fitFunc} = $params{-fitFunc};
}
lib/AI/ParticleSwarmOptimization.pm view on Meta::CPAN
Create an optimization object. The following parameters may be used:
=over 4
=item I<-dimensions>: positive number, required
The number of dimensions of the hypersurface being searched.
=item I<-exitFit>: number, optional
If provided I<-exitFit> allows early termination of optimize if the
fitness value becomes equal or less than I<-exitFit>.
=item I<-fitFunc>: required
I<-fitFunc> is a reference to the fitness function used by the search. If extra
parameters need to be passed to the fitness function an array ref may be used
with the code ref as the first array element and parameters to be passed into
the fitness function as following elements. User provided parameters are passed
AI-Pathfinding-AStar-Rectangle
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The README is used to introduce the module and provide instructions on
how to install the module, any machine dependencies it may have (for
example C compilers and installed libraries) and any other information
that should be provided before the module is installed.
A README file is required for CPAN modules since CPAN extracts the
README file from a module distribution so that people browsing the
archive can use it get an idea of the modules uses. It is usually a
good idea to provide version information here so that people can
decide whether fixes for the module are worth downloading.
AI-Pathfinding-AStar
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lib/AI/Pathfinding/AStar.pm view on Meta::CPAN
=head1 SYNOPSIS
package My::Map::Package;
use base AI::Pathfinding::AStar;
# Methods required by AI::Pathfinding::AStar
sub getSurrounding { ... }
package main;
use My::Map::Package;
AI-Pathfinding-OptimizeMultiple
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lib/AI/Pathfinding/OptimizeMultiple/App/CmdLine.pm view on Meta::CPAN
# TODO : restore later.
# use MyInput;
use Carp ();
has argv => ( isa => 'ArrayRef[Str]', is => 'ro', required => 1, );
has _arbitrator => ( is => 'rw' );
has _add_horne_prune => ( isa => 'Bool', is => 'rw' );
has _chosen_scans => ( isa => 'ArrayRef', is => 'rw' );
has _should_exit_immediately =>
( isa => 'Bool', is => 'rw', default => sub { 0; }, );
AI-Pathfinding-SMAstar
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lib/AI/Pathfinding/SMAstar.pm view on Meta::CPAN
my $state_goal_p_func = $self->{_state_goal_p_func};
my $state_num_successors_func = $self->{_state_num_successors_func},
my $state_successors_iterator = $self->{_state_successors_iterator},
my $state_get_data_func = $self->{_state_get_data_func};
# make sure required functions have been defined
if(!defined($state_eval_func)){
croak "SMAstar: evaluation function is not defined\n";
}
if(!defined($state_goal_p_func)){
croak "SMAstar: goal function is not defined\n";
lib/AI/Pathfinding/SMAstar.pm view on Meta::CPAN
=item *
B<str_function> (C<str_function> above)
This function returns a *unique* string representation of this node.
Uniqueness is required for SMA* to work properly.
=item *
B<max states allowed in memory> (C<max_states_in_queue> above)
lib/AI/Pathfinding/SMAstar.pm view on Meta::CPAN
=head2 Overview
Simplified Memory-bounded A* search (or SMA* search) addresses some of the
limitations of conventional A* search, by bounding the amount of space required
to perform a shortest-path search. This module is an implementation of
SMA*, which was first introduced by Stuart Russell in 1992. SMA* is a simpler,
more efficient variation of the original MA* search introduced by P. Chakrabarti
et al. in 1989 (see references below).
AI-Perceptron-Simple
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modifying or distributing the Package, you accept this license. Do not
use, modify, or distribute the Package, if you do not accept this
license.
(11) If your Modified Version has been derived from a Modified
Version made by someone other than you, you are nevertheless required
to ensure that your Modified Version complies with the requirements of
this license.
(12) This license does not grant you the right to use any trademark,
service mark, tradename, or logo of the Copyright Holder.
AI-PredictionClient-Alien-TensorFlowServingProtos
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- "Copyright Holder" is whoever is named in the copyright or copyrights for
the package.
- "You" is you, if you're thinking about copying or distributing this Package.
- "Reasonable copying fee" is whatever you can justify on the basis of media
cost, duplication charges, time of people involved, and so on. (You will
not be required to justify it to the Copyright Holder, but only to the
computing community at large as a market that must bear the fee.)
- "Freely Available" means that no fee is charged for the item itself, though
there may be fees involved in handling the item. It also means that
recipients of the item may redistribute it under the same conditions they
received it.
AI-PredictionClient
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bin/Inception.pl view on Meta::CPAN
my $default_model = 'inception';
my $default_model_signature = 'predict_images';
option image_file => (
is => 'ro',
required => 1,
format => 's',
doc => '* Required: Path to image to be processed'
);
option host => (
is => 'ro',
required => 0,
format => 's',
default => $default_host,
doc => "IP address of the server [Default: $default_host]"
);
option port => (
is => 'ro',
required => 0,
format => 's',
default => $default_port,
doc => "Port number of the server [Default: $default_port]"
);
option model_name => (
is => 'ro',
required => 0,
format => 's',
default => $default_model,
doc => "Model to process image [Default: $default_model]"
);
option model_signature => (
is => 'ro',
required => 0,
format => 's',
default => $default_model_signature,
doc => "API signature for model [Default: $default_model_signature]"
);
option debug_verbose => (is => 'ro', doc => 'Verbose output');
option debug_loopback_interface => (
is => 'ro',
required => 0,
doc => "Test loopback through dummy server"
);
option debug_camel => (
is => 'ro',
required => 0,
doc => "Test using camel image"
);
sub run {
my ($self) = @_;
AI-Prolog
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lib/AI/Prolog/Engine/Primitives.pm view on Meta::CPAN
my $file = $term->getarg(0)->getfunctor;
if ( open my $fh, '<', $file ) {
# Avoid do { local $/; <$fh> }. This triggers a bug where
# *two* copies of the string are made. Double space is
# required.
my $prolog;
{
local $/;
$prolog = <$fh>;
}
AI-TensorFlow-Libtensorflow
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the terms of any separate license agreement you may have executed
with Licensor regarding such Contributions.
6. Trademarks. This License does not grant permission to use the trade
names, trademarks, service marks, or product names of the Licensor,
except as required for reasonable and customary use in describing the
origin of the Work and reproducing the content of the NOTICE file.
7. Disclaimer of Warranty. Unless required by applicable law or
agreed to in writing, Licensor provides the Work (and each
Contributor provides its Contributions) on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
implied, including, without limitation, any warranties or conditions
of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
appropriateness of using or redistributing the Work and assume any
risks associated with Your exercise of permissions under this License.
8. Limitation of Liability. In no event and under no legal theory,
whether in tort (including negligence), contract, or otherwise,
unless required by applicable law (such as deliberate and grossly
negligent acts) or agreed to in writing, shall any Contributor be
liable to You for damages, including any direct, indirect, special,
incidental, or consequential damages of any character arising as a
result of this License or out of the use or inability to use the
Work (including but not limited to damages for loss of goodwill,
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
AI-Termites
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The README is used to introduce the module and provide instructions on
how to install the module, any machine dependencies it may have (for
example C compilers and installed libraries) and any other information
that should be provided before the module is installed.
A README file is required for CPAN modules since CPAN extracts the
README file from a module distribution so that people browsing the
archive can use it get an idea of the modules uses. It is usually a
good idea to provide version information here so that people can
decide whether fixes for the module are worth downloading.
AI-XGBoost
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the terms of any separate license agreement you may have executed
with Licensor regarding such Contributions.
6. Trademarks. This License does not grant permission to use the trade
names, trademarks, service marks, or product names of the Licensor,
except as required for reasonable and customary use in describing the
origin of the Work and reproducing the content of the NOTICE file.
7. Disclaimer of Warranty. Unless required by applicable law or
agreed to in writing, Licensor provides the Work (and each
Contributor provides its Contributions) on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
implied, including, without limitation, any warranties or conditions
of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
appropriateness of using or redistributing the Work and assume any
risks associated with Your exercise of permissions under this License.
8. Limitation of Liability. In no event and under no legal theory,
whether in tort (including negligence), contract, or otherwise,
unless required by applicable law (such as deliberate and grossly
negligent acts) or agreed to in writing, shall any Contributor be
liable to You for damages, including any direct, indirect, special,
incidental, or consequential damages of any character arising as a
result of this License or out of the use or inability to use the
Work (including but not limited to damages for loss of goodwill,
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
AIIA-GMT
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mydiff(\*STDOUT, $filename, $c);
}
}
else {
my $s = $file{changes} == 1 ? '' : 's';
info("$file{changes} potentially required change$s detected");
}
}
else {
info("Looks good");
}
AIX-Perfstat
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mydiff(\*STDOUT, $filename, $c);
}
}
else {
my $s = $file{changes} == 1 ? '' : 's';
info("$file{changes} potentially required change$s detected");
}
}
else {
info("Looks good");
}
ALBD
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visible. You may add other material on the covers in addition.
Copying with changes limited to the covers, as long as they preserve
the title of the Document and satisfy these conditions, can be treated
as verbatim copying in other respects.
If the required texts for either cover are too voluminous to fit
legibly, you should put the first ones listed (as many as fit
reasonably) on the actual cover, and continue the rest onto adjacent
pages.
If you publish or distribute Opaque copies of the Document numbering
that this Transparent copy will remain thus accessible at the stated
location until at least one year after the last time you distribute an
Opaque copy (directly or through your agents or retailers) of that
edition to the public.
It is requested, but not required, that you contact the authors of the
Document well before redistributing any large number of copies, to give
them a chance to provide you with an updated version of the Document.
4. MODIFICATIONS
adjacent to the other copyright notices.
F. Include, immediately after the copyright notices, a license notice
giving the public permission to use the Modified Version under the
terms of this License, in the form shown in the Addendum below.
G. Preserve in that license notice the full lists of Invariant Sections
and required Cover Texts given in the Document's license notice.
H. Include an unaltered copy of this License.
I. Preserve the section Entitled "History", Preserve its Title, and add
to it an item stating at least the title, year, new authors, and
publisher of the Modified Version as given on the Title Page. If
there is no section Entitled "History" in the Document, create one
ALPM
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lib/ALPM/Conf.pm view on Meta::CPAN
if(/^Never$/){
$opt->{$_} = 'never' for(@types);
}elsif(/^Optional$/){
$opt->{$_} = 'optional' for(@types);
}elsif(/^Required$/){
$opt->{$_} = 'required' for(@types);
}elsif(/^TrustedOnly$/){
;
}elsif(/^TrustAll$/){
for my $t (@types){
$opt->{$t} = 'optional' unless(defined $opt->{$t});
( run in 1.172 second using v1.01-cache-2.11-cpan-0a6323c29d9 )