File Coverage

blib/lib/Paws/MachineLearning/UpdateMLModel.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::UpdateMLModel;
3 1     1   404 use Moose;
  1         4  
  1         7  
4             has MLModelId => (is => 'ro', isa => 'Str', required => 1);
5             has MLModelName => (is => 'ro', isa => 'Str');
6             has ScoreThreshold => (is => 'ro', isa => 'Num');
7              
8 1     1   5857 use MooseX::ClassAttribute;
  1         3  
  1         10  
9              
10             class_has _api_call => (isa => 'Str', is => 'ro', default => 'UpdateMLModel');
11             class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::MachineLearning::UpdateMLModelOutput');
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::UpdateMLModel - Arguments for method UpdateMLModel on Paws::MachineLearning
20              
21             =head1 DESCRIPTION
22              
23             This class represents the parameters used for calling the method UpdateMLModel on the
24             Amazon Machine Learning service. Use the attributes of this class
25             as arguments to method UpdateMLModel.
26              
27             You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to UpdateMLModel.
28              
29             As an example:
30              
31             $service_obj->UpdateMLModel(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             The ID assigned to the C<MLModel> during creation.
41              
42              
43              
44             =head2 MLModelName => Str
45              
46             A user-supplied name or description of the C<MLModel>.
47              
48              
49              
50             =head2 ScoreThreshold => Num
51              
52             The C<ScoreThreshold> used in binary classification C<MLModel> that
53             marks the boundary between a positive prediction and a negative
54             prediction.
55              
56             Output values greater than or equal to the C<ScoreThreshold> receive a
57             positive result from the C<MLModel>, such as C<true>. Output values
58             less than the C<ScoreThreshold> receive a negative response from the
59             C<MLModel>, such as C<false>.
60              
61              
62              
63              
64             =head1 SEE ALSO
65              
66             This class forms part of L<Paws>, documenting arguments for method UpdateMLModel in L<Paws::MachineLearning>
67              
68             =head1 BUGS and CONTRIBUTIONS
69              
70             The source code is located here: https://github.com/pplu/aws-sdk-perl
71              
72             Please report bugs to: https://github.com/pplu/aws-sdk-perl/issues
73              
74             =cut
75