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use base "AI::NeuralNet::Kohonen";

use Tk;
use Tk::Canvas;
use Tk::Label;
use Tk qw/DoOneEvent DONT_WAIT/;

#
# Used only by &tk_train
#
sub tk_show { my $self=shift;
	for my $x (0..$self->{map_dim_x}){
		for my $y (0..$self->{map_dim_y}){
			my $colour = sprintf("#%02x%02x%02x",
				(int (255 * $self->{map}->[$x]->[$y]->{weight}->[0])),
				(int (255 * $self->{map}->[$x]->[$y]->{weight}->[1])),
				(int (255 * $self->{map}->[$x]->[$y]->{weight}->[2])),
			);
			if ($self->{display} and $self->{display} eq 'hex'){
				my $xo = ($y % 2) * ($self->{display_scale}/2);
				my $yo = 0;

RGB.pm  view on Meta::CPAN

	return 1;
}


=head1 METHOD train

Over-rides the base class to provide TK displays of the map

=cut

sub train { my ($self,$epochs) = (shift,shift);
	my $label_txt;

	$epochs = $self->{epochs} unless defined $epochs;
	$self->{display_scale} = 10 if not defined 	$self->{display_scale};

	$self->{mw} = MainWindow->new(
		-width	=> 200+($self->{map_dim_x} * $self->{display_scale}),
		-height	=> 200+($self->{map_dim_y} * $self->{display_scale}),
	);
    my $quit_flag = 0;
    my $quit_code = sub {$quit_flag = 1};
    $self->{mw}->protocol('WM_DELETE_WINDOW' => $quit_code);

	$self->{c} = $self->{mw}->Canvas(
		-width	=> 50+($self->{map_dim_x} * $self->{display_scale}),
		-height	=> 50+($self->{map_dim_y} * $self->{display_scale}),
		-relief	=> 'ridge',
		-border => 5,
	);
	$self->{c}->pack(-side=>'top');