AI-Perceptron-Simple
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lib/AI/Perceptron/Simple.pm view on Meta::CPAN
sub shuffle_data {
my $stimuli = shift or croak "Please specify the original file name";
my @shuffled_stimuli_names = @_
or croak "Please specify the output files for the shuffled data";
my @aoa;
for ( @shuffled_stimuli_names ) {
# copied from _real_validate_or_test
# open for shuffling
my $aoa = csv (in => $stimuli, encoding => ":encoding(utf-8)");
my $attrib_array_ref = shift @$aoa; # 'remove' the header, it's annoying :)
@aoa = shuffle( @$aoa ); # this can only process actual array
unshift @aoa, $attrib_array_ref; # put back the headers before saving file
csv( in => \@aoa, out => $_, encoding => ":encoding(utf-8)" )
and
print "Saved shuffled data into ", basename($_), "!\n";
}
}
=head1 CREATION RELATED SUBROUTINES/METHODS
=head2 new ( \%options )
lib/AI/Perceptron/Simple.pm view on Meta::CPAN
sub train {
my $self = shift;
my( $stimuli_train_csv, $expected_output_header, $save_nerve_to_file, $display_stats, $identifier ) = @_;
$display_stats = 0 if not defined $display_stats;
if ( $display_stats and not defined $identifier ) {
croak "Please specifiy a string for \$identifier if you are trying to display stats";
}
# CSV processing is all according to the documentation of Text::CSV
open my $data_fh, "<:encoding(UTF-8)", $stimuli_train_csv
or croak "Can't open $stimuli_train_csv: $!";
my $csv = Text::CSV->new( {auto_diag => 1, binary => 1} );
my $attrib = $csv->getline($data_fh);
$csv->column_names( $attrib );
# individual row
ROW: while ( my $row = $csv->getline_hr($data_fh) ) {
# print $row->{book_name}, " -> ";
lib/AI/Perceptron/Simple.pm view on Meta::CPAN
my $stimuli_validate = $data_hash_ref->{ stimuli_validate };
my $predicted_index = $data_hash_ref->{ predicted_column_index };
# actual processing starts here
my $output_file = defined $data_hash_ref->{ results_write_to }
? $data_hash_ref->{ results_write_to }
: $stimuli_validate;
# open for writing results
my $aoa = csv (in => $stimuli_validate, encoding => ":encoding(utf-8)");
my $attrib_array_ref = shift @$aoa; # 'remove' the header, it's annoying :)
$aoa = _fill_predicted_values( $self, $stimuli_validate, $predicted_index, $aoa );
# put back the array of headers before saving file
unshift @$aoa, $attrib_array_ref;
print "Saving data to $output_file\n";
csv( in => $aoa, out => $output_file, encoding => ":encoding(utf-8)" );
print "Done saving!\n";
}
=head2 &_fill_predicted_values ( $self, $stimuli_validate, $predicted_index, $aoa )
This is where the filling in of the predicted values takes place. Take note that the parameters naming are the same as the ones used in the C<validate> and C<test> method.
This subroutine should be called in the procedural way.
=cut
sub _fill_predicted_values {
my ( $self, $stimuli_validate, $predicted_index, $aoa ) = @_;
# CSV processing is all according to the documentation of Text::CSV
open my $data_fh, "<:encoding(UTF-8)", $stimuli_validate
or croak "Can't open $stimuli_validate: $!";
my $csv = Text::CSV->new( {auto_diag => 1, binary => 1} );
my $attrib = $csv->getline($data_fh);
$csv->column_names( $attrib );
# individual row
my $row = 0;
lib/AI/Perceptron/Simple.pm view on Meta::CPAN
my $actual_header = $info->{ actual_output_header };
my $predicted_header = $info->{ predicted_output_header };
my $more_stats = defined ( $info->{ more_stats } ) ? 1 : 0;
my %c_matrix = (
true_positive => 0, true_negative => 0, false_positive => 0, false_negative => 0,
accuracy => 0, sensitivity => 0
);
# CSV processing is all according to the documentation of Text::CSV
open my $data_fh, "<:encoding(UTF-8)", $file
or croak "Can't open $file: $!";
my $csv = Text::CSV->new( {auto_diag => 1, binary => 1} );
my $attrib = $csv->getline($data_fh); # get the row of headers, can't specify any column
# shouldn't be a problem, since we're reading line by line :)
$csv->column_names( $attrib );
# individual row
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