perl-package/AI-MXNet/t/test_metric.t

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use strict;
use warnings;
use Test::More tests => 6;
use JSON::PP;
use AI::MXNet 'mx';

sub check_metric
{
    my ($metric, @args) = @_;
    $metric = mx->metric->create($metric, @args);
    my $str_metric = encode_json($metric->get_config());
    my $metric2 = mx->metric->create($str_metric);
    is_deeply($metric->get_config(), $metric2->get_config());
}


sub test_metrics
{
    check_metric('acc', axis=>0);
    check_metric('f1');
    check_metric('perplexity', -1);
    check_metric('pearsonr');
    check_metric('confidence', 2, [0.5, 0.9]);
    my $composite = mx->metric->create(['acc', 'f1']);
    check_metric($composite);
}

test_metrics();