From Code to Community: Sponsoring The Perl and Raku Conference 2025 Learn more

JROBINSON / Paws-0.46 / lib / Paws / MachineLearning / Predict.pm 

            

              
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
—
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80

              
package Paws::MachineLearning::Predict;
  use Moose;
  has MLModelId => (is => 'ro', isa => 'Str', required => 1);
  has PredictEndpoint => (is => 'ro', isa => 'Str', required => 1);
  has Record => (is => 'ro', isa => 'Paws::MachineLearning::Record', required => 1);
  use MooseX::ClassAttribute;
  class_has _api_call => (isa => 'Str', is => 'ro', default => 'Predict');
  class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::MachineLearning::PredictOutput');
  class_has _result_key => (isa => 'Str', is => 'ro');
1;
### main pod documentation begin ###
=head1 NAME
Paws::MachineLearning::Predict - Arguments for method Predict on L<Paws::MachineLearning>
=head1 DESCRIPTION
This class represents the parameters used for calling the method Predict on the
L<Amazon Machine Learning|Paws::MachineLearning> service. Use the attributes of this class
as arguments to method Predict.
You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to Predict.
=head1 SYNOPSIS
    my $machinelearning = Paws->service('MachineLearning');
    my $PredictOutput = $machinelearning->Predict(
      MLModelId       => 'MyEntityId',
      PredictEndpoint => 'MyVipURL',
      Record          => { 'MyVariableName' => 'MyVariableValue', },
    );
    # Results:
    my $Prediction = $PredictOutput->Prediction;
    # Returns a L<Paws::MachineLearning::PredictOutput> object.
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.
For the AWS API documentation, see L<https://docs.aws.amazon.com/goto/WebAPI/machinelearning/Predict>
=head1 ATTRIBUTES
=head2 B<REQUIRED> MLModelId => Str
A unique identifier of the C<MLModel>.
=head2 B<REQUIRED> PredictEndpoint => Str
=head2 B<REQUIRED> Record => L<Paws::MachineLearning::Record>
=head1 SEE ALSO
This class forms part of L<Paws>, documenting arguments for method Predict in L<Paws::MachineLearning>
=head1 BUGS and CONTRIBUTIONS
The source code is located here: L<https://github.com/pplu/aws-sdk-perl>
Please report bugs to: L<https://github.com/pplu/aws-sdk-perl/issues>
=cut