1
2package Paws::MachineLearning::CreateEvaluation {
3  use Moose;
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  use MooseX::ClassAttribute;
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}
151;
16
17### main pod documentation begin ###
18
19=head1 NAME
20
21Paws::MachineLearning::CreateEvaluation - Arguments for method CreateEvaluation on Paws::MachineLearning
22
23=head1 DESCRIPTION
24
25This class represents the parameters used for calling the method CreateEvaluation on the
26Amazon Machine Learning service. Use the attributes of this class
27as arguments to method CreateEvaluation.
28
29You shouln't make instances of this class. Each attribute should be used as a named argument in the call to CreateEvaluation.
30
31As an example:
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33  $service_obj->CreateEvaluation(Att1 => $value1, Att2 => $value2, ...);
34
35Values 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.
36
37=head1 ATTRIBUTES
38
39=head2 B<REQUIRED> EvaluationDataSourceId => Str
40
41
42
43The ID of the C<DataSource> for the evaluation. The schema of the
44C<DataSource> must match the schema used to create the C<MLModel>.
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54
55=head2 B<REQUIRED> EvaluationId => Str
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57
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59A user-supplied ID that uniquely identifies the C<Evaluation>.
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69
70=head2 EvaluationName => Str
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72
73
74A user-supplied name or description of the C<Evaluation>.
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84
85=head2 B<REQUIRED> MLModelId => Str
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89The ID of the C<MLModel> to evaluate.
90
91The schema used in creating the C<MLModel> must match the schema of the
92C<DataSource> used in the C<Evaluation>.
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104
105=head1 SEE ALSO
106
107This class forms part of L<Paws>, documenting arguments for method CreateEvaluation in L<Paws::MachineLearning>
108
109=head1 BUGS and CONTRIBUTIONS
110
111The source code is located here: https://github.com/pplu/aws-sdk-perl
112
113Please report bugs to: https://github.com/pplu/aws-sdk-perl/issues
114
115=cut
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117