File Coverage

blib/lib/Paws/MachineLearning/Predict.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::Predict;
3 1     1   540 use Moose;
  1         3  
  1         8  
4             has MLModelId => (is => 'ro', isa => 'Str', required => 1);
5             has PredictEndpoint => (is => 'ro', isa => 'Str', required => 1);
6             has Record => (is => 'ro', isa => 'Paws::MachineLearning::Record', required => 1);
7              
8 1     1   6327 use MooseX::ClassAttribute;
  1         3  
  1         7  
9              
10             class_has _api_call => (isa => 'Str', is => 'ro', default => 'Predict');
11             class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::MachineLearning::PredictOutput');
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::Predict - Arguments for method Predict on Paws::MachineLearning
20              
21             =head1 DESCRIPTION
22              
23             This class represents the parameters used for calling the method Predict on the
24             Amazon Machine Learning service. Use the attributes of this class
25             as arguments to method Predict.
26              
27             You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to Predict.
28              
29             As an example:
30              
31             $service_obj->Predict(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> MLModelId => Str
39              
40             A unique identifier of the C<MLModel>.
41              
42              
43              
44             =head2 B<REQUIRED> PredictEndpoint => Str
45              
46              
47              
48              
49              
50             =head2 B<REQUIRED> Record => L<Paws::MachineLearning::Record>
51              
52              
53              
54              
55              
56              
57             =head1 SEE ALSO
58              
59             This class forms part of L<Paws>, documenting arguments for method Predict in L<Paws::MachineLearning>
60              
61             =head1 BUGS and CONTRIBUTIONS
62              
63             The source code is located here: https://github.com/pplu/aws-sdk-perl
64              
65             Please report bugs to: https://github.com/pplu/aws-sdk-perl/issues
66              
67             =cut
68