File Coverage

blib/lib/Paws/MachineLearning/DescribeBatchPredictions.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::DescribeBatchPredictions;
3 1     1   465 use Moose;
  1         4  
  1         9  
4             has EQ => (is => 'ro', isa => 'Str');
5             has FilterVariable => (is => 'ro', isa => 'Str');
6             has GE => (is => 'ro', isa => 'Str');
7             has GT => (is => 'ro', isa => 'Str');
8             has LE => (is => 'ro', isa => 'Str');
9             has Limit => (is => 'ro', isa => 'Int');
10             has LT => (is => 'ro', isa => 'Str');
11             has NE => (is => 'ro', isa => 'Str');
12             has NextToken => (is => 'ro', isa => 'Str');
13             has Prefix => (is => 'ro', isa => 'Str');
14             has SortOrder => (is => 'ro', isa => 'Str');
15              
16 1     1   6312 use MooseX::ClassAttribute;
  1         3  
  1         10  
17              
18             class_has _api_call => (isa => 'Str', is => 'ro', default => 'DescribeBatchPredictions');
19             class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::MachineLearning::DescribeBatchPredictionsOutput');
20             class_has _result_key => (isa => 'Str', is => 'ro');
21             1;
22              
23             ### main pod documentation begin ###
24              
25             =head1 NAME
26              
27             Paws::MachineLearning::DescribeBatchPredictions - Arguments for method DescribeBatchPredictions on Paws::MachineLearning
28              
29             =head1 DESCRIPTION
30              
31             This class represents the parameters used for calling the method DescribeBatchPredictions on the
32             Amazon Machine Learning service. Use the attributes of this class
33             as arguments to method DescribeBatchPredictions.
34              
35             You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to DescribeBatchPredictions.
36              
37             As an example:
38              
39             $service_obj->DescribeBatchPredictions(Att1 => $value1, Att2 => $value2, ...);
40              
41             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.
42              
43             =head1 ATTRIBUTES
44              
45              
46             =head2 EQ => Str
47              
48             The equal to operator. The C<BatchPrediction> results will have
49             C<FilterVariable> values that exactly match the value specified with
50             C<EQ>.
51              
52              
53              
54             =head2 FilterVariable => Str
55              
56             Use one of the following variables to filter a list of
57             C<BatchPrediction>:
58              
59             =over
60              
61             =item * C<CreatedAt> - Sets the search criteria to the
62             C<BatchPrediction> creation date.
63              
64             =item * C<Status> - Sets the search criteria to the C<BatchPrediction>
65             status.
66              
67             =item * C<Name> - Sets the search criteria to the contents of the
68             C<BatchPrediction>B< > C<Name>.
69              
70             =item * C<IAMUser> - Sets the search criteria to the user account that
71             invoked the C<BatchPrediction> creation.
72              
73             =item * C<MLModelId> - Sets the search criteria to the C<MLModel> used
74             in the C<BatchPrediction>.
75              
76             =item * C<DataSourceId> - Sets the search criteria to the C<DataSource>
77             used in the C<BatchPrediction>.
78              
79             =item * C<DataURI> - Sets the search criteria to the data file(s) used
80             in the C<BatchPrediction>. The URL can identify either a file or an
81             Amazon Simple Storage Solution (Amazon S3) bucket or directory.
82              
83             =back
84              
85              
86             Valid values are: C<"CreatedAt">, C<"LastUpdatedAt">, C<"Status">, C<"Name">, C<"IAMUser">, C<"MLModelId">, C<"DataSourceId">, C<"DataURI">
87              
88             =head2 GE => Str
89              
90             The greater than or equal to operator. The C<BatchPrediction> results
91             will have C<FilterVariable> values that are greater than or equal to
92             the value specified with C<GE>.
93              
94              
95              
96             =head2 GT => Str
97              
98             The greater than operator. The C<BatchPrediction> results will have
99             C<FilterVariable> values that are greater than the value specified with
100             C<GT>.
101              
102              
103              
104             =head2 LE => Str
105              
106             The less than or equal to operator. The C<BatchPrediction> results will
107             have C<FilterVariable> values that are less than or equal to the value
108             specified with C<LE>.
109              
110              
111              
112             =head2 Limit => Int
113              
114             The number of pages of information to include in the result. The range
115             of acceptable values is C<1> through C<100>. The default value is
116             C<100>.
117              
118              
119              
120             =head2 LT => Str
121              
122             The less than operator. The C<BatchPrediction> results will have
123             C<FilterVariable> values that are less than the value specified with
124             C<LT>.
125              
126              
127              
128             =head2 NE => Str
129              
130             The not equal to operator. The C<BatchPrediction> results will have
131             C<FilterVariable> values not equal to the value specified with C<NE>.
132              
133              
134              
135             =head2 NextToken => Str
136              
137             An ID of the page in the paginated results.
138              
139              
140              
141             =head2 Prefix => Str
142              
143             A string that is found at the beginning of a variable, such as C<Name>
144             or C<Id>.
145              
146             For example, a C<Batch Prediction> operation could have the C<Name>
147             C<2014-09-09-HolidayGiftMailer>. To search for this C<BatchPrediction>,
148             select C<Name> for the C<FilterVariable> and any of the following
149             strings for the C<Prefix>:
150              
151             =over
152              
153             =item *
154              
155             2014-09
156              
157             =item *
158              
159             2014-09-09
160              
161             =item *
162              
163             2014-09-09-Holiday
164              
165             =back
166              
167              
168              
169              
170             =head2 SortOrder => Str
171              
172             A two-value parameter that determines the sequence of the resulting
173             list of C<MLModel>s.
174              
175             =over
176              
177             =item * C<asc> - Arranges the list in ascending order (A-Z, 0-9).
178              
179             =item * C<dsc> - Arranges the list in descending order (Z-A, 9-0).
180              
181             =back
182              
183             Results are sorted by C<FilterVariable>.
184              
185             Valid values are: C<"asc">, C<"dsc">
186              
187              
188             =head1 SEE ALSO
189              
190             This class forms part of L<Paws>, documenting arguments for method DescribeBatchPredictions in L<Paws::MachineLearning>
191              
192             =head1 BUGS and CONTRIBUTIONS
193              
194             The source code is located here: https://github.com/pplu/aws-sdk-perl
195              
196             Please report bugs to: https://github.com/pplu/aws-sdk-perl/issues
197              
198             =cut
199