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package AI::Nerl;
use Moose 'has',inner => { -as => 'moose_inner' };
use PDL;
use AI::Nerl::Network;

# ABSTRACT: Neural networks with backpropagation.

# main_module

our $VERSION = .03;

#A Nerl is a mechanism to build neural networks?
#Give it training,test, and cv data?
#it settles on a learning rate and stuff?
#or maybe it's also a language for guided training?
#or maybe a visual gui thing?
#Not exactly sure. Maybe I'm tinkering with forces better left alone.
#That's a great excuse for failing horribly.


=head1 AI::Nerl - A sort of stackable neural network builder thing.

=head1 SYNOPSIS

Check out L<AI::Nerl::Network>; This module is in an early stage.

=head1 AUTHOR

Zach Morgan

=cut



has scale_input => (
   is => 'ro',
   isa => 'Num',
   required => 0,
   default => 0,
);
has l2 => ( #hidden layer.
   is => 'ro',
   isa => 'Num',
   default => 30,
);

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=> (
   is => 'rw',
   isa => 'Int',
   default => 10,
);

has basis => (
   is => 'ro',