AI-ConfusionMatrix
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view release on metacpan or search on metacpan
==================================================
Changes from 2017-10-27 00:00:00 +0000 to present.
==================================================
------------------------------------------
version 0.010 at 2019-10-27 21:13:50 +0000
------------------------------------------
Change: 3d51004bd8892bda9bb21bdb0ca3cff03438a579
Author: Vincent Lequertier <vi.le@autistici.org>
Date : 2019-10-27 22:13:21 +0000
Release 0.010
Change: 80f861c2343ec5f2e7826a1dcadf9dd6a4364d78
Author: Vincent Lequertier <vi.le@autistici.org>
Date : 2019-10-27 22:13:21 +0000
Exclude temporary files for releases
Change: 867d10e770465e46b886df93eb7385c8926a99a5
Author: Vincent Lequertier <vi.le@autistici.org>
Date : 2019-10-27 22:06:01 +0000
2018 -> 2019
Change: 91bccdc2f18dfd7160cf0120863296b93f930a0c
Author: Vincent Lequertier <vi.le@autistici.org>
Date : 2019-10-27 20:23:24 +0000
Merge branch 'string_class' into 'master'
text labels now supported
See merge request vi.le/perl-ai-confusionmatrix!2
Change: 64a9b5f6fc680e7b8fc3f83a1e8ccaf6f4178eff
Author: Vincent Lequertier <vi.le@autistici.org>
Date : 2019-10-27 13:33:23 +0000
Add comment about emptying the CSV file
Change: 2c0b2d745e8dd44999bb3460d07e1e3f52cda206
Author: Vincent Lequertier <vi.le@autistici.org>
Date : 2019-10-27 12:30:47 +0000
Merge branch 'clear_csv' into 'master'
handle reuse of csv
See merge request vi.le/perl-ai-confusionmatrix!1
Change: f05d56c0f1a6eff14aea5dfbe02d2792219f9693
Author: john <4852923-john---@users.noreply.gitlab.com>
Date : 2019-10-25 16:45:02 +0000
text labels now supported
Change: 591bbb1ca3ea73b7963ab5eae29739b360ceb4cf
Author: john <4852923-john---@users.noreply.gitlab.com>
Date : 2019-10-24 22:37:48 +0000
handle reuse of csv
Change: c758dd7ff4eba2541be53832427349e8c1db6185
Author: Vincent Lequertier <vi.le@autistici.org>
Date : 2019-06-08 17:03:24 +0000
Add .gitlab-ci.yml to excluded files
Change: 102cc4c476c08a47ff672fa41f26ca5b66fb1aa7
Author: Vincent Lequertier <vi.le@autistici.org>
Date : 2019-06-08 17:03:04 +0000
Rename some variables to improve readability
------------------------------------------
version 0.009 at 2018-06-23 12:11:29 +0000
------------------------------------------
Change: 26715ae3594c73d64d14226b47d52636d2685a79
Author: Vincent Lequertier <vi.le@autistici.org>
Date : 2018-06-23 14:11:29 +0000
Release 0.009
Change: facd8f12a48582eab14e71c9e16a1e4bb7de14ba
Author: Vincent Lequertier <vi.le@autistici.org>
Date : 2018-06-23 13:37:50 +0000
Change git repository URL
Change: 01c4725ed70a887a24e1b287a8b5d7cfb36f5ff7
Author: Vincent Lequertier <vi.le@autistici.org>
Date : 2018-06-05 21:53:14 +0000
Travis CI -> Gitlab CI
Change: afc765032c1dddcf7a371da058a0565caadd3a31
Author: Vincent Lequertier <vi.le@autistici.org>
Date : 2018-02-24 14:20:16 +0000
Fix function getConfusionMatrix in the doc
Change: b718f61845a79d7f5dbc84fff6708583df2a6308
Author: Vincent Lequertier <vi.le@autistici.org>
Date : 2018-02-07 18:54:12 +0000
Add the ability to retrieve the confusion matrix data
Change: ac01df632c259c96152217d84bb50bdc28f52240
Author: Vincent Lequertier <vi.le@autistici.org>
Date : 2018-01-24 19:02:36 +0000
Clarify the documentation about the expected format of the input
matrix
Change: 4d11cf8544859f74d7af1798728a057101288aec
Author: Vincent Lequertier <vi.le@autistici.org>
Date : 2018-01-22 20:40:16 +0000
2017 -> 2018
------------------------------------------
version 0.007 at 2017-12-04 20:14:52 +0000
------------------------------------------
Change: ea89a7af0e34d51d89844f0263d4b71790a70fb3
Author: Vincent Lequertier <vi.le@autistici.org>
Date : 2017-12-04 21:14:52 +0000
Release 0.007
Change: 94701b325fc7641a666e05518533839960be1dc2
Author: Vincent Lequertier <vi.le@autistici.org>
Date : 2017-11-30 21:27:28 +0000
Duplicated use strict statement
Change: c612c6584426285b4ad4bb81d19e0d06705801bf
Author: Vincent Lequertier <vi.le@autistici.org>
Date : 2017-11-29 16:20:22 +0000
Document the computation of Sensitivity
Change: ade3e0c6e19c005a02f54662b01ed6623283bb68
Author: Vincent Lequertier <vi.le@autistici.org>
Date : 2017-11-25 18:05:13 +0000
Compute the sensitivity once we have collected all the false
positives
Change: 8e55580eb20cb5011b2c7ad932553654a4f7dfd4
Author: Vincent Lequertier <vi.le@autistici.org>
Date : 2017-11-12 01:23:34 +0000
Increase the max age for the auto-generated Changes file
This keeps two years of history now
Change: e468a3e1eff548bbc594ad9c39d4e54155105dbc
Author: Vincent Lequertier <vi.le@autistici.org>
Date : 2017-11-12 01:01:00 +0000
Use strict and warnings
Change: 625b719fcd376318a866f5658e05c6c37a86889d
Author: Vincent Lequertier <vi.le@autistici.org>
Date : 2017-11-08 22:02:37 +0000
Changed email
Change: d73032ef2fcefce4a9dadba0be174ae13cd9ab71
Author: Vincent Lequertier <vi.le@autistici.org>
Date : 2017-11-08 21:52:05 +0000
Compute the sensitivity
Change: cbff868057b49d9ffbe285f8528be62223bab061
Author: Vincent Lequertier <vi.le@autistici.org>
Date : 2017-11-08 21:31:10 +0000
Append the '%' in the sprintf
Change: b85dc7c2c4789db4e877f3b233ccea84c0830c5f
Author: Vincent Lequertier <vi.le@autistici.org>
Date : 2017-04-29 19:18:16 +0000
adds .travis.yml
Change: 76c1eaab4b36e158af61e053e7db7d7dad48c268
Author: Vincent Lequertier <vi.le@autistici.org>
Date : 2017-01-18 21:34:50 +0000
update year
Change: 344d2d22d57c4afca65c6b5086f656774850bb82
Author: Vincent Lequertier <vi.le@autistici.org>
Date : 2017-01-18 21:26:14 +0000
Email changed
Change: 86b968f592252f912bd87160004d32634a610dc8
Author: Vincent Lequertier <sky@riseup.net>
Date : 2016-12-06 22:58:10 +0000
Add the possibility of supplying a custom separator for the output
================================================
Plus 6 releases after 2017-10-27 00:00:00 +0000.
================================================
This software is copyright (c) 2019 by Vincent Lequertier.
This is free software; you can redistribute it and/or modify it under
the same terms as the Perl 5 programming language system itself.
Terms of the Perl programming language system itself
a) the GNU General Public License as published by the Free
Software Foundation; either version 1, or (at your option) any
later version, or
b) the "Artistic License"
--- The GNU General Public License, Version 1, February 1989 ---
This software is Copyright (c) 2019 by Vincent Lequertier.
This is free software, licensed under:
The GNU General Public License, Version 1, February 1989
GNU GENERAL PUBLIC LICENSE
Version 1, February 1989
Copyright (C) 1989 Free Software Foundation, Inc.
51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA
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--- The Artistic License 1.0 ---
This software is Copyright (c) 2019 by Vincent Lequertier.
This is free software, licensed under:
The Artistic License 1.0
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The End
# This file was automatically generated by Dist::Zilla::Plugin::Manifest v6.012.
Changes
LICENSE
MANIFEST
META.json
META.yml
Makefile.PL
README.md
dist.ini
lib/AI/ConfusionMatrix.pm
t/01_csv.t
t/02_cmData.t
test.csv
test.pl
xt/author/pod-syntax.t
{
"abstract" : "Make a confusion matrix",
"author" : [
"Vincent Lequertier <vi.le@autistici.org>"
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},
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---
abstract: 'Make a confusion matrix'
author:
- 'Vincent Lequertier <vi.le@autistici.org>'
build_requires:
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Test::More: '0'
configure_requires:
ExtUtils::MakeMaker: '0'
dynamic_config: 0
generated_by: 'Dist::Zilla version 6.012, CPAN::Meta::Converter version 2.150010'
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meta-spec:
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version: '1.4'
name: AI-ConfusionMatrix
provides:
AI::ConfusionMatrix:
file: lib/AI/ConfusionMatrix.pm
version: '0.010'
requires:
Carp: '0'
Exporter: '0'
Tie::File: '0'
strict: '0'
warnings: '0'
resources:
bugtracker: http://rt.cpan.org/NoAuth/Bugs.html?AI-ConfusionMatrix
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version: '0.010'
x_generated_by_perl: v5.28.2
x_serialization_backend: 'YAML::Tiny version 1.73'
Makefile.PL view on Meta::CPAN
# This file was automatically generated by Dist::Zilla::Plugin::MakeMaker v6.012.
use strict;
use warnings;
use ExtUtils::MakeMaker;
my %WriteMakefileArgs = (
"ABSTRACT" => "Make a confusion matrix",
"AUTHOR" => "Vincent Lequertier <vi.le\@autistici.org>",
"CONFIGURE_REQUIRES" => {
"ExtUtils::MakeMaker" => 0
},
"DISTNAME" => "AI-ConfusionMatrix",
"LICENSE" => "perl",
"NAME" => "AI::ConfusionMatrix",
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"Test::More" => 0
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"VERSION" => "0.010",
"test" => {
"TESTS" => "t/*.t"
}
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"Carp" => 0,
"Exporter" => 0,
"File::Temp" => 0,
"Test::More" => 0,
"Tie::File" => 0,
"strict" => 0,
"warnings" => 0
);
unless ( eval { ExtUtils::MakeMaker->VERSION(6.63_03) } ) {
delete $WriteMakefileArgs{TEST_REQUIRES};
delete $WriteMakefileArgs{BUILD_REQUIRES};
$WriteMakefileArgs{PREREQ_PM} = \%FallbackPrereqs;
}
delete $WriteMakefileArgs{CONFIGURE_REQUIRES}
unless eval { ExtUtils::MakeMaker->VERSION(6.52) };
WriteMakefile(%WriteMakefileArgs);
# NAME
AI::ConfusionMatrix - make a confusion matrix
# SYNOPSIS
my %matrix;
# Loop over your predictions
# [...]
$matrix{$expected}{$predicted} += 1;
# [...]
makeConfusionMatrix(\%matrix, 'output.csv');
# DESCRIPTION
This module prints a [confusion matrix](https://en.wikipedia.org/wiki/Confusion_matrix) from a hash reference. This module tries to be generic enough to be used within a lot of machine learning projects.
### Functions:
#### `makeConfusionMatrix($hash_ref, $file [, $delimiter ])`
This function makes a confusion matrix from `$hash_ref` and writes it to `$file`. `$file` can be a filename or a file handle opened with the `w+` mode. If `$delimiter` is present, it is used as a custom separator for the fields in the confusion matri...
Examples:
makeConfusionMatrix(\%matrix, 'output.csv');
makeConfusionMatrix(\%matrix, 'output.csv', ';');
makeConfusionMatrix(\%matrix, *$fh);
The hash reference must look like this :
$VAR1 = {
'value_expected1' => {
'value_predicted1' => number_of_predictions
},
'value_expected2' => {
'value_predicted1' => number_of_predictions,
'value_predicted2' => number_of_predictions
},
'value_expected3' => {
'value_predicted3' => number_of_predictions
}
};
The output will be in CSV. Here is an example:
,1974,1978,2002,2003,2005,TOTAL,TP,FP,FN,SENS,ACC
1974,3,1,,,2,6,3,4,3,42.86%,50.00%
1978,1,5,,,,6,5,4,1,55.56%,83.33%
2002,2,2,8,,,12,8,1,4,88.89%,66.67%
2003,1,,,7,2,10,7,0,3,100.00%,70.00%
2005,,1,1,,6,8,6,4,2,60.00%,75.00%
TOTAL,7,9,9,7,10,42,29,13,13,69.05%,69.05%
Prettified:
| | 1974 | 1978 | 2002 | 2003 | 2005 | TOTAL | TP | FP | FN | SENS | ACC |
|-------|------|------|------|------|------|-------|----|----|----|---------|--------|
| 1974 | 3 | 1 | | | 2 | 6 | 3 | 4 | 3 | 42.86% | 50.00% |
| 1978 | 1 | 5 | | | | 6 | 5 | 4 | 1 | 55.56% | 83.33% |
| 2002 | 2 | 2 | 8 | | | 12 | 8 | 1 | 4 | 88.89% | 66.67% |
| 2003 | 1 | | | 7 | 2 | 10 | 7 | 0 | 3 | 100.00% | 70.00% |
| 2005 | | 1 | 1 | | 6 | 8 | 6 | 4 | 2 | 60.00% | 75.00% |
| TOTAL | 7 | 9 | 9 | 7 | 10 | 42 | 29 | 13 | 13 | 69.05% | 69.05% |
- TP:
True Positive
- FP:
False Positive
- FN:
False Negative
- SENS
Sensitivity. Number of true positives divided by the number of positives.
- ACC:
Accuracy
#### `getConfusionMatrix($hash_ref)`
Get the data used to compute the table above.
Example:
my %cm = getConfusionMatrix(\%matrix);
# AUTHOR
Vincent Lequertier <vi.le@autistici.org>
# LICENSE
This library is free software; you can redistribute it and/or modify
it under the same terms as Perl itself.
name = AI-ConfusionMatrix
author = Vincent Lequertier <vi.le@autistici.org>
license = Perl_5
copyright_holder = Vincent Lequertier
copyright_year = 2019
version = 0.010
[MetaResources]
bugtracker.web = http://rt.cpan.org/NoAuth/Bugs.html?AI-ConfusionMatrix
bugtracker.mailto = bug-ai-confusionmatrix@rt.cpan.org
repository.url = https://gitlab.com/vi.le/perl-ai-confusionmatrix.git
repository.web = https://gitlab.com/vi.le/perl-ai-confusionmatrix
repository.type = git
[AutoPrereqs]
[ChangelogFromGit]
file_name = Changes
max_age = 730
[CopyFilesFromBuild]
copy = cpanfile
copy = LICENSE
copy = Makefile.PL
copy = README.md
[GatherDir]
exclude_filename = cpanfile
exclude_filename = LICENSE
exclude_filename = Makefile.PL
exclude_filename = .gitlab-ci.yml
exclude_match = ~$
exclude_match = tags
[License]
[MetaYAML]
[MetaJSON]
[MetaProvides::Package]
[MakeMaker]
[ManifestSkip]
[Manifest]
[PkgVersion]
[PodSyntaxTests]
[ReadmeAnyFromPod]
type = markdown
filename = README.md
location = build
lib/AI/ConfusionMatrix.pm view on Meta::CPAN
package AI::ConfusionMatrix;
$AI::ConfusionMatrix::VERSION = '0.010';
use strict;
use warnings;
use Carp;
use Exporter 'import';
our @EXPORT= qw (getConfusionMatrix makeConfusionMatrix);
use strict;
use Tie::File;
# ABSTRACT: Make a confusion matrix
sub makeConfusionMatrix {
my ($matrix, $file, $delem) = @_;
unless(defined $delem) {
$delem = ',';
}
carp ('First argument must be a hash reference') if ref($matrix) ne 'HASH';
my %cmData = genConfusionMatrixData($matrix);
# This ties @output_array to the output file. Each output_array item represents a line in the output file
tie my @output_array, 'Tie::File', $file or carp "$!";
# Empty the file
@output_array = ();
my @columns = @{$cmData{columns}};
map {$output_array[0] .= $delem . $_} join $delem, (@columns, 'TOTAL', 'TP', 'FP', 'FN', 'SENS', 'ACC');
my $line = 1;
my @expected = sort keys %{$matrix};
for my $expected (@expected) {
$output_array[$line] = $expected;
my $lastIndex = 0;
my $index;
for my $predicted (sort keys %{$matrix->{$expected}}) {
# Calculate the index of the label in the output_array of columns
$index = _findIndex($predicted, \@columns);
# Print some of the delimiter to get to the column of the next value predicted
$output_array[$line] .= $delem x ($index - $lastIndex) . $matrix->{$expected}{$predicted};
$lastIndex = $index;
}
# Get to the columns of the stats
$output_array[$line] .= $delem x (scalar(@columns) - $lastIndex + 1);
$output_array[$line] .= join $delem, (
$cmData{stats}{$expected}{'total'},
$cmData{stats}{$expected}{'tp'},
$cmData{stats}{$expected}{'fp'},
$cmData{stats}{$expected}{'fn'},
sprintf('%.2f%%', $cmData{stats}{$expected}{'sensitivity'}),
sprintf('%.2f%%', $cmData{stats}{$expected}{'acc'})
);
++$line;
}
# Print the TOTAL row to the csv file
$output_array[$line] = 'TOTAL' . $delem;
map {$output_array[$line] .= $cmData{totals}{$_} . $delem} (@columns);
$output_array[$line] .= join $delem, (
$cmData{totals}{'total'},
$cmData{totals}{'tp'},
$cmData{totals}{'fp'},
$cmData{totals}{'fn'},
sprintf('%.2f%%', $cmData{totals}{'sensitivity'}),
sprintf('%.2f%%', $cmData{totals}{'acc'})
);
untie @output_array;
}
sub getConfusionMatrix {
my ($matrix) = @_;
carp ('First argument must be a hash reference') if ref($matrix) ne 'HASH';
return genConfusionMatrixData($matrix);
}
sub genConfusionMatrixData {
my $matrix = shift;
my @expected = sort keys %{$matrix};
my %stats;
my %totals;
my @columns;
for my $expected (@expected) {
$stats{$expected}{'fn'} = 0;
$stats{$expected}{'tp'} = 0;
# Ensure that the False Positive counter is defined to be able to compute the total later
unless(defined $stats{$expected}{'fp'}) {
$stats{$expected}{'fp'} = 0;
}
for my $predicted (keys %{$matrix->{$expected}}) {
$stats{$expected}{'total'} += $matrix->{$expected}->{$predicted};
$stats{$expected}{'tp'} += $matrix->{$expected}->{$predicted} if $expected eq $predicted;
if ($expected ne $predicted) {
$stats{$expected}{'fn'} += $matrix->{$expected}->{$predicted};
$stats{$predicted}{'fp'} += $matrix->{$expected}->{$predicted};
}
$totals{$predicted} += $matrix->{$expected}->{$predicted};
# Add the label to the array of columns if it does not contain it already
push @columns, $predicted unless _findIndex($predicted, \@columns);
}
$stats{$expected}{'acc'} = ($stats{$expected}{'tp'} * 100) / $stats{$expected}{'total'};
}
for my $expected (@expected) {
$totals{'total'} += $stats{$expected}{'total'};
$totals{'tp'} += $stats{$expected}{'tp'};
$totals{'fn'} += $stats{$expected}{'fn'};
$totals{'fp'} += $stats{$expected}{'fp'};
$stats{$expected}{'sensitivity'} = ($stats{$expected}{'tp'} * 100) / ($stats{$expected}{'tp'} + $stats{$expected}{'fp'});
}
$totals{'acc'} = ($totals{'tp'} * 100) / $totals{'total'};
$totals{'sensitivity'} = ($totals{'tp'} * 100) / ($totals{'tp'} + $totals{'fp'});
return (
columns => [sort @columns],
stats => \%stats,
totals => \%totals
);
}
sub _findIndex {
my ($string, $array) = @_;
for (0 .. @$array - 1) {
return $_ + 1 if ($string eq @{$array}[$_]);
}
}
=head1 NAME
AI::ConfusionMatrix - make a confusion matrix
=head1 SYNOPSIS
my %matrix;
# Loop over your predictions
# [...]
$matrix{$expected}{$predicted} += 1;
# [...]
makeConfusionMatrix(\%matrix, 'output.csv');
=head1 DESCRIPTION
This module prints a L<confusion matrix|https://en.wikipedia.org/wiki/Confusion_matrix> from a hash reference. This module tries to be generic enough to be used within a lot of machine learning projects.
=head3 Functions:
=head4 C<makeConfusionMatrix($hash_ref, $file [, $delimiter ])>
This function makes a confusion matrix from C<$hash_ref> and writes it to C<$file>. C<$file> can be a filename or a file handle opened with the C<w+> mode. If C<$delimiter> is present, it is used as a custom separator for the fields in the confusion ...
Examples:
makeConfusionMatrix(\%matrix, 'output.csv');
makeConfusionMatrix(\%matrix, 'output.csv', ';');
makeConfusionMatrix(\%matrix, *$fh);
The hash reference must look like this :
$VAR1 = {
'value_expected1' => {
'value_predicted1' => number_of_predictions
},
'value_expected2' => {
'value_predicted1' => number_of_predictions,
'value_predicted2' => number_of_predictions
},
'value_expected3' => {
'value_predicted3' => number_of_predictions
}
};
The output will be in CSV. Here is an example:
,1974,1978,2002,2003,2005,TOTAL,TP,FP,FN,SENS,ACC
1974,3,1,,,2,6,3,4,3,42.86%,50.00%
1978,1,5,,,,6,5,4,1,55.56%,83.33%
2002,2,2,8,,,12,8,1,4,88.89%,66.67%
2003,1,,,7,2,10,7,0,3,100.00%,70.00%
2005,,1,1,,6,8,6,4,2,60.00%,75.00%
TOTAL,7,9,9,7,10,42,29,13,13,69.05%,69.05%
Prettified:
| | 1974 | 1978 | 2002 | 2003 | 2005 | TOTAL | TP | FP | FN | SENS | ACC |
|-------|------|------|------|------|------|-------|----|----|----|---------|--------|
| 1974 | 3 | 1 | | | 2 | 6 | 3 | 4 | 3 | 42.86% | 50.00% |
| 1978 | 1 | 5 | | | | 6 | 5 | 4 | 1 | 55.56% | 83.33% |
| 2002 | 2 | 2 | 8 | | | 12 | 8 | 1 | 4 | 88.89% | 66.67% |
| 2003 | 1 | | | 7 | 2 | 10 | 7 | 0 | 3 | 100.00% | 70.00% |
| 2005 | | 1 | 1 | | 6 | 8 | 6 | 4 | 2 | 60.00% | 75.00% |
| TOTAL | 7 | 9 | 9 | 7 | 10 | 42 | 29 | 13 | 13 | 69.05% | 69.05% |
=over
=item TP:
True Positive
=item FP:
False Positive
=item FN:
False Negative
=item SENS
Sensitivity. Number of true positives divided by the number of positives.
=item ACC:
Accuracy
=back
=head4 C<getConfusionMatrix($hash_ref)>
Get the data used to compute the table above.
Example:
my %cm = getConfusionMatrix(\%matrix);
=head1 AUTHOR
Vincent Lequertier <vi.le@autistici.org>
=head1 LICENSE
This library is free software; you can redistribute it and/or modify
it under the same terms as Perl itself.
=cut
1;
# vim: set ts=4 sw=4 tw=0 fdm=marker :
use Test::More tests => 13;
require_ok( 'AI::ConfusionMatrix' );
use AI::ConfusionMatrix;
use Tie::File;
use File::Temp 'tempfile';
my $hash = {
1978 => {
1978 => 5,
1974 => 1,
},
2005 => {
1978 => 1,
2005 => 3,
2002 => 1
},
2003 => {
2005 => 2,
2003 => 7,
}
};
my $fh = tempfile();
makeConfusionMatrix($hash, $fh);
tie my @array, 'Tie::File', $fh or die "$!";
is($array[0], ',1974,1978,2002,2003,2005,TOTAL,TP,FP,FN,SENS,ACC', 'Column Headers');
is($array[3], '2005,,1,1,,3,5,3,2,2,60.00%,60.00%', 'Sample result');
is($array[4], 'TOTAL,1,6,1,7,5,20,15,3,5,83.33%,75.00%', 'Total line');
untie @array;
close $fh;
my $fh2 = tempfile();
makeConfusionMatrix($hash, $fh2, ';');
tie my @array2, 'Tie::File', $fh2 or die "$!";
is($array2[0], ';1974;1978;2002;2003;2005;TOTAL;TP;FP;FN;SENS;ACC', 'Column Headers with a custom delimiter');
is($array2[3], '2005;;1;1;;3;5;3;2;2;60.00%;60.00%', 'Sample result with a custom delimiter');
is($array2[4], 'TOTAL;1;6;1;7;5;20;15;3;5;83.33%;75.00%', 'Total line with a custom delimiter');
untie @array2;
makeConfusionMatrix($hash, $fh2, ';');
tie my @array2, 'Tie::File', $fh2 or die "$!";
is($array2[0], ';1974;1978;2002;2003;2005;TOTAL;TP;FP;FN;SENS;ACC',
'Reuse csv - Column Headers with a custom delimiter');
is($array2[3], '2005;;1;1;;3;5;3;2;2;60.00%;60.00%',
'Reuse csv - Sample result with a custom delimiter');
is($array2[4], 'TOTAL;1;6;1;7;5;20;15;3;5;83.33%;75.00%',
'Reuse csv - Total line with a custom delimiter');
untie @array2;
close $fh2;
my $hash2 = {
'apple' => {
'apple' => 7,
'fish' => 6
},
'fish' => {
'apple' => 8,
'fish' => 8
},
'pants' => {
'apple' => 5,
'fish' => 1,
'pants' => 1
}
};
my $fh3 = tempfile();
makeConfusionMatrix($hash2, $fh3);
tie my @array3, 'Tie::File', $fh3 or die "$!";
is($array3[0], ',apple,fish,pants,TOTAL,TP,FP,FN,SENS,ACC', 'Column Headers');
is($array3[3], 'pants,5,1,1,7,1,0,6,100.00%,14.29%', 'Sample result');
is($array3[4], 'TOTAL,20,15,1,36,16,20,20,44.44%,44.44%', 'Total line');
untie @array3;
close $fh3;
t/02_cmData.t view on Meta::CPAN
use Test::More tests => 6;
require_ok( 'AI::ConfusionMatrix' );
use AI::ConfusionMatrix;
my $hash = {
1978 => {
1978 => 5,
1974 => 1,
},
2005 => {
1978 => 1,
2005 => 3,
2002 => 1
},
2003 => {
2005 => 2,
2003 => 7,
}
};
my %cmData = getConfusionMatrix($hash);
is($cmData{stats}{2003}{tp}, 7, 'Test parsing true positives');
is($cmData{stats}{2005}{sensitivity}, 60, 'Test parsing sensitivity');
is($cmData{totals}{tp}, 15, 'Test parsing total true positives');
is($cmData{totals}{2003}, 7, 'Test parsing total');
is_deeply($cmData{columns}, [1974, 1978, 2002, 2003, 2005], 'Test parsing columns');
xt/author/pod-syntax.t view on Meta::CPAN
#!perl
# This file was automatically generated by Dist::Zilla::Plugin::PodSyntaxTests.
use strict; use warnings;
use Test::More;
use Test::Pod 1.41;
all_pod_files_ok();
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