view release on metacpan or  search on metacpan

lib/AI/MXNet/Metric.pm  view on Meta::CPAN

package AI::MXNet::Metric;
use strict;
use warnings;
use AI::MXNet::Function::Parameters;
use Scalar::Util qw/blessed/;

=head1 NAME

    AI::MXNet::Metric - Online evaluation metric module.
=cut

# Check to see if the two arrays are the same size.
sub _calculate_shape
{
    my $input = shift;
    my ($shape);
    if(blessed($input))
    {
        if($input->isa('PDL'))
        {
            $shape = $input->shape->at(-1);
        }
        else
        {
            $shape = $input->shape->[0];
        }
    }
    else
    {
        $shape = @{ $input };
    }
    return $shape;
}
func check_label_shapes(
    ArrayRef|AI::MXNet::NDArray|PDL $labels,
    ArrayRef|AI::MXNet::NDArray|PDL $preds
)
{
    my ($label_shape, $pred_shape) = (_calculate_shape($labels), _calculate_shape($preds));
    Carp::confess(
        "Shape of labels $label_shape does not "
        ."match shape of predictions $pred_shape"
    ) unless $pred_shape == $label_shape;
}

=head1 DESCRIPTION

    Base class of all evaluation metrics.
=cut

package AI::MXNet::EvalMetric;
use Mouse;
use overload '""' => sub {
    return "EvalMetric: "
            .Data::Dumper->new(
                [shift->get_name_value()]
            )->Purity(1)->Deepcopy(1)->Terse(1)->Dump
},  fallback => 1;
has 'name'       => (is => 'rw', isa => 'Str');
has 'num'        => (is => 'rw', isa => 'Int');
has 'num_inst'   => (is => 'rw', isa => 'Maybe[Int|ArrayRef[Int]]');
has 'sum_metric' => (is => 'rw', isa => 'Maybe[Num|ArrayRef[Num]]');

sub BUILD
{
    shift->reset;
}

method update($label, $pred)
{
    confess('NotImplemented');
}

method reset()
{
    if(not defined $self->num)
    {