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    if ($node->{split_on}) {
      $g->add_node( "$node",
		    label => $node->{split_on},
		    shape => 'ellipse',
		  );
    } else {
      my $i = 0;
      my $distr = join ',', grep {$i++ % 2} @{$node->{distribution}};
      my %fill = (exists $colors->{$node->{result}} ?
		  (fillcolor => $colors->{$node->{result}},
		   style => 'filled') :
		  ()
		 );
      $g->add_node( "$node",
		    label => "$node->{result} ($distr)",
		    shape => 'box',
		    %fill,
		  );
    }
    $g->add_edge( "$parent" => "$node",
		  label => $node_name,

lib/AI/DecisionTree.pm  view on Meta::CPAN

=item as_graphviz()

Returns a C<GraphViz> object representing the tree.  Requires that the
GraphViz module is already installed, of course.  The object returned
will allow you to create PNGs, GIFs, image maps, or whatever graphical
representation of your tree you might want.  

A C<leaf_colors> argument can specify a fill color for each leaf node
in the tree.  The keys of the hash should be the same as the strings
appearing as the C<result> parameters given to C<add_instance()>, and
the values should be any GraphViz-style color specification.

Any additional arguments given to C<as_graphviz()> will be passed on
to GraphViz's C<new()> method.  See the L<GraphViz> docs for more
info.

=back

=head1 LIMITATIONS

A few limitations exist in the current version.  All of them could be