File Coverage

blib/lib/Paws/MachineLearning/AddTags.pm
Criterion Covered Total %
statement 6 6 100.0
branch n/a
condition n/a
subroutine 2 2 100.0
pod n/a
total 8 8 100.0


line stmt bran cond sub pod time code
1              
2             package Paws::MachineLearning::AddTags;
3 1     1   387 use Moose;
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4             has ResourceId => (is => 'ro', isa => 'Str', required => 1);
5             has ResourceType => (is => 'ro', isa => 'Str', required => 1);
6             has Tags => (is => 'ro', isa => 'ArrayRef[Paws::MachineLearning::Tag]', required => 1);
7              
8 1     1   5953 use MooseX::ClassAttribute;
  1         3  
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9              
10             class_has _api_call => (isa => 'Str', is => 'ro', default => 'AddTags');
11             class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::MachineLearning::AddTagsOutput');
12             class_has _result_key => (isa => 'Str', is => 'ro');
13             1;
14              
15             ### main pod documentation begin ###
16              
17             =head1 NAME
18              
19             Paws::MachineLearning::AddTags - Arguments for method AddTags on Paws::MachineLearning
20              
21             =head1 DESCRIPTION
22              
23             This class represents the parameters used for calling the method AddTags on the
24             Amazon Machine Learning service. Use the attributes of this class
25             as arguments to method AddTags.
26              
27             You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to AddTags.
28              
29             As an example:
30              
31             $service_obj->AddTags(Att1 => $value1, Att2 => $value2, ...);
32              
33             Values for attributes that are native types (Int, String, Float, etc) can passed as-is (scalar values). Values for complex Types (objects) can be passed as a HashRef. The keys and values of the hashref will be used to instance the underlying object.
34              
35             =head1 ATTRIBUTES
36              
37              
38             =head2 B<REQUIRED> ResourceId => Str
39              
40             The ID of the ML object to tag. For example, C<exampleModelId>.
41              
42              
43              
44             =head2 B<REQUIRED> ResourceType => Str
45              
46             The type of the ML object to tag.
47              
48             Valid values are: C<"BatchPrediction">, C<"DataSource">, C<"Evaluation">, C<"MLModel">
49              
50             =head2 B<REQUIRED> Tags => ArrayRef[L<Paws::MachineLearning::Tag>]
51              
52             The key-value pairs to use to create tags. If you specify a key without
53             specifying a value, Amazon ML creates a tag with the specified key and
54             a value of null.
55              
56              
57              
58              
59             =head1 SEE ALSO
60              
61             This class forms part of L<Paws>, documenting arguments for method AddTags in L<Paws::MachineLearning>
62              
63             =head1 BUGS and CONTRIBUTIONS
64              
65             The source code is located here: https://github.com/pplu/aws-sdk-perl
66              
67             Please report bugs to: https://github.com/pplu/aws-sdk-perl/issues
68              
69             =cut
70