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AI-Perceptron-Simple
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docs/AI-Perceptron-Simple-1.04.html  view on Meta::CPAN 

    # processing data
    use AI::Perceptron::Simple ":process_data";
    shuffle_stimuli ( ... )
    shuffle_data ( ORIGINAL_STIMULI, $new_file_1, $new_file_2, ... );
    shuffle_data ( $original_stimuli =&gt; $new_file_1, $new_file_2, ... );</code></pre>

<h1 id="EXPORT">EXPORT</h1>

<p>None by default.</p>

<p>All the subroutines from <code>DATA PROCESSING RELATED SUBROUTINES</code>, <code>NERVE DATA RELATED SUBROUTINES</code> and <code>NERVE PORTABILITY RELATED SUBROUTINES</code> sections are importable through tags or manually specifying them.</p>

<p>The tags available include the following:</p>

<dl>

<dt id="process_data---subroutines-under-DATA-PROCESSING-RELATED-SUBROUTINES-section"><code>:process_data</code> - subroutines under <code>DATA PROCESSING RELATED SUBROUTINES</code> section.</dt>
<dd>

</dd>
<dt id="local_data---subroutines-under-NERVE-DATA-RELATED-SUBROUTINES-section"><code>:local_data</code> - subroutines under <code>NERVE DATA RELATED SUBROUTINES</code> section.</dt>
<dd>

</dd>
<dt id="portable_data---subroutines-under-NERVE-PORTABILITY-RELATED-SUBROUTINES-section"><code>:portable_data</code> - subroutines under <code>NERVE PORTABILITY RELATED SUBROUTINES</code> section.</dt>
<dd>

</dd>
</dl>

<p>Most of the stuff are OO.</p>

<h1 id="DESCRIPTION">DESCRIPTION</h1>

<p>This module provides methods to build, train, validate and test a perceptron. It can also save the data of the perceptron for future use for any actual AI programs.</p>

docs/AI-Perceptron-Simple-1.04.html  view on Meta::CPAN 

<p><i>This module can only process CSV files.</i></p>

<p>Any field ie columns that will be used for processing must be binary ie. <code>0</code> or <code>1</code> only. Your dataset can contain other columns with non-binary data as long as they are not one of the dendrites.</p>

<p>There are soem sample dataset which can be found in the <code>t</code> directory. The original dataset can also be found in <code>docs/book_list.csv</code>. The files can also be found <a href="https://github.com/Ellednera/AI-Perceptron-Simple">he...

<h1 id="PERCEPTRON-DATA">PERCEPTRON DATA</h1>

<p>The perceptron/neuron data is stored using the <code>Storable</code> module.</p>

<p>See <code>Portability of Nerve Data</code> section below for more info on some known issues.</p>

<h1 id="DATA-PROCESSING-RELATED-SUBROUTINES">DATA PROCESSING RELATED SUBROUTINES</h1>

<p>These subroutines can be imported using the tag <code>:process_data</code>.</p>

<p>These subroutines should be called in the procedural way.</p>

<h2 id="shuffle_stimuli">shuffle_stimuli ( ... )</h2>

<p>The parameters and usage are the same as <code>shuffled_data</code>. See the next two subroutines.</p>

docs/AI-Perceptron-Simple-1.04.html  view on Meta::CPAN 

<p>Extends and outputs the matrix on the screen.</p>

<p><code>$matrix</code> and <code>$c_matrix</code> are the same as returned by <code>&amp;_build_matrix</code>.</p>

<h1 id="NERVE-DATA-RELATED-SUBROUTINES">NERVE DATA RELATED SUBROUTINES</h1>

<p>This part is about saving the data of the nerve. These subroutines can be imported using the <code>:local_data</code> tag.</p>

<p><b>The subroutines are to be called in the procedural way</b>. No checking is done currently.</p>

<p>See <code>PERCEPTRON DATA</code> and <code>KNOWN ISSUES</code> sections for more details on the subroutines in this section.</p>

<h2 id="preserve">preserve ( ... )</h2>

<p>The parameters and usage are the same as <code>save_perceptron</code>. See the next subroutine.</p>

<h2 id="save_perceptron-nerve-nerve_file">save_perceptron ( $nerve, $nerve_file )</h2>

<p>Saves the <code>AI::Perceptron::Simple</code> object into a <code>Storable</code> file. There shouldn&#39;t be a need to call this method manually since after every training process this will be called automatically.</p>

<h2 id="revive">revive (...)</h2>

docs/specifications.t  view on Meta::CPAN 

#   ? Data processing: splitting data, k-fold
#   -...
#
#
############ "flow" of the codes ############

# these three steps could be done in seperated scripts if necessary
# &train and &validate could be put inside a loop or something
# the parameters make more sense when they are taken from @ARGV
    # so when it's the first time training, it will create the nerve_file,
    # the second time and up it will directly overrride that file since everything is read from it
    # ... anyway :) afterall training stage wasn't meant to be a fully working program, so it shouldnt be a problem
# just assume that 
$perceptron->train( $stimuli_train, $save_nerve_to_file ); 
    # reads training stimuli from csv
    # tune attributes based on csv data
        # calls the same subroutine to do the calculation
    # shouldn't give any output upon completion
    # should save a copy of itselt into a new file
    # returns the nerve's data filename to be used in validate()
        # these two can go into a loop with conditions checking

lib/AI/Perceptron/Simple.pm  view on Meta::CPAN 

    # processing data
    use AI::Perceptron::Simple ":process_data";
    shuffle_stimuli ( ... )
    shuffle_data ( ORIGINAL_STIMULI, $new_file_1, $new_file_2, ... );
    shuffle_data ( $original_stimuli => $new_file_1, $new_file_2, ... );

=head1 EXPORT

None by default.

All the subroutines from C<DATA PROCESSING RELATED SUBROUTINES>, C<NERVE DATA RELATED SUBROUTINES> and C<NERVE PORTABILITY RELATED SUBROUTINES> sections are importable through tags or manually specifying them.

The tags available include the following:

=over 4

=item C<:process_data> - subroutines under C<DATA PROCESSING RELATED SUBROUTINES> section.

=item C<:local_data> - subroutines under C<NERVE DATA RELATED SUBROUTINES> section.

=item C<:portable_data> - subroutines under C<NERVE PORTABILITY RELATED SUBROUTINES> section.

=back

Most of the stuff are OO.

=cut

use Exporter qw( import );
our @EXPORT_OK = qw( 
    shuffle_data shuffle_stimuli

lib/AI/Perceptron/Simple.pm  view on Meta::CPAN 

I<This module can only process CSV files.>

Any field ie columns that will be used for processing must be binary ie. C<0> or C<1> only. Your dataset can contain other columns with non-binary data as long as they are not one of the dendrites.

There are soem sample dataset which can be found in the C<t> directory. The original dataset can also be found in C<docs/book_list.csv>. The files can also be found L<here|https://github.com/Ellednera/AI-Perceptron-Simple>.

=head1 PERCEPTRON DATA

The perceptron/neuron data is stored using the C<Storable> module. 

See C<Portability of Nerve Data> section below for more info on some known issues.

=head1 DATA PROCESSING RELATED SUBROUTINES

These subroutines can be imported using the tag C<:process_data>.

These subroutines should be called in the procedural way.

=head2 shuffle_stimuli ( ... )

The parameters and usage are the same as C<shuffled_data>. See the next two subroutines.

lib/AI/Perceptron/Simple.pm  view on Meta::CPAN 

    print "  Balanced Accuracy: $c_matrix->{ balanced_accuracy } %\n" if exists $c_matrix->{ balanced_accuracy };
    print "~~" x24, "\n";
}

=head1 NERVE DATA RELATED SUBROUTINES

This part is about saving the data of the nerve. These subroutines can be imported using the C<:local_data> tag.

B<The subroutines are to be called in the procedural way>. No checking is done currently.

See C<PERCEPTRON DATA> and C<KNOWN ISSUES> sections for more details on the subroutines in this section.

=head2 preserve ( ... )

The parameters and usage are the same as C<save_perceptron>. See the next subroutine.

=head2 save_perceptron ( $nerve, $nerve_file )

Saves the C<AI::Perceptron::Simple> object into a C<Storable> file. There shouldn't be a need to call this method manually since after every training 
process this will be called automatically.

t/12-shuffle_data.t  view on Meta::CPAN 

}

shuffle_data( $original_stimuli => $shuffled_data_1, $shuffled_data_2, $shuffled_data_3 );

stdout_like {
    shuffle_data( ORIGINAL_STIMULI, $shuffled_data_1, $shuffled_data_2, $shuffled_data_3 );
} qr/^Saved/, "Correct output after saving file";


ok( -e $shuffled_data_1, "Found the first shuffled file" );
ok( -e $shuffled_data_2, "Found the second shuffled file" );
ok( -e $shuffled_data_3, "Found the third shuffled file" );

done_testing();

# besiyata d'shmaya

t/12-shuffle_data_synonym.t  view on Meta::CPAN 

}

shuffle_stimuli( $original_stimuli => $shuffled_data_1, $shuffled_data_2, $shuffled_data_3 );

stdout_like {
    shuffle_stimuli( ORIGINAL_STIMULI, $shuffled_data_1, $shuffled_data_2, $shuffled_data_3 );
} qr/^Saved/, "Correct output after saving file";


ok( -e $shuffled_data_1, "Found the first shuffled file" );
ok( -e $shuffled_data_2, "Found the second shuffled file" );
ok( -e $shuffled_data_3, "Found the third shuffled file" );

done_testing();

# besiyata d'shmaya



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