File Coverage

blib/lib/Paws/MachineLearning/CreateEvaluation.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::CreateEvaluation;
3 1     1   396 use Moose;
  1         4  
  1         7  
4             has EvaluationDataSourceId => (is => 'ro', isa => 'Str', required => 1);
5             has EvaluationId => (is => 'ro', isa => 'Str', required => 1);
6             has EvaluationName => (is => 'ro', isa => 'Str');
7             has MLModelId => (is => 'ro', isa => 'Str', required => 1);
8              
9 1     1   5600 use MooseX::ClassAttribute;
  1         2  
  1         9  
10              
11             class_has _api_call => (isa => 'Str', is => 'ro', default => 'CreateEvaluation');
12             class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::MachineLearning::CreateEvaluationOutput');
13             class_has _result_key => (isa => 'Str', is => 'ro');
14             1;
15              
16             ### main pod documentation begin ###
17              
18             =head1 NAME
19              
20             Paws::MachineLearning::CreateEvaluation - Arguments for method CreateEvaluation on Paws::MachineLearning
21              
22             =head1 DESCRIPTION
23              
24             This class represents the parameters used for calling the method CreateEvaluation on the
25             Amazon Machine Learning service. Use the attributes of this class
26             as arguments to method CreateEvaluation.
27              
28             You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to CreateEvaluation.
29              
30             As an example:
31              
32             $service_obj->CreateEvaluation(Att1 => $value1, Att2 => $value2, ...);
33              
34             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.
35              
36             =head1 ATTRIBUTES
37              
38              
39             =head2 B<REQUIRED> EvaluationDataSourceId => Str
40              
41             The ID of the C<DataSource> for the evaluation. The schema of the
42             C<DataSource> must match the schema used to create the C<MLModel>.
43              
44              
45              
46             =head2 B<REQUIRED> EvaluationId => Str
47              
48             A user-supplied ID that uniquely identifies the C<Evaluation>.
49              
50              
51              
52             =head2 EvaluationName => Str
53              
54             A user-supplied name or description of the C<Evaluation>.
55              
56              
57              
58             =head2 B<REQUIRED> MLModelId => Str
59              
60             The ID of the C<MLModel> to evaluate.
61              
62             The schema used in creating the C<MLModel> must match the schema of the
63             C<DataSource> used in the C<Evaluation>.
64              
65              
66              
67              
68             =head1 SEE ALSO
69              
70             This class forms part of L<Paws>, documenting arguments for method CreateEvaluation in L<Paws::MachineLearning>
71              
72             =head1 BUGS and CONTRIBUTIONS
73              
74             The source code is located here: https://github.com/pplu/aws-sdk-perl
75              
76             Please report bugs to: https://github.com/pplu/aws-sdk-perl/issues
77              
78             =cut
79