The Perl Toolchain Summit 2025 Needs You: You can help 🙏 Learn more

use Moose;
has EQ => (is => 'ro', isa => 'Str');
has FilterVariable => (is => 'ro', isa => 'Str');
has GE => (is => 'ro', isa => 'Str');
has GT => (is => 'ro', isa => 'Str');
has LE => (is => 'ro', isa => 'Str');
has Limit => (is => 'ro', isa => 'Int');
has LT => (is => 'ro', isa => 'Str');
has NE => (is => 'ro', isa => 'Str');
has NextToken => (is => 'ro', isa => 'Str');
has Prefix => (is => 'ro', isa => 'Str');
has SortOrder => (is => 'ro', isa => 'Str');
class_has _api_call => (isa => 'Str', is => 'ro', default => 'DescribeBatchPredictions');
class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::MachineLearning::DescribeBatchPredictionsOutput');
class_has _result_key => (isa => 'Str', is => 'ro');
1;
### main pod documentation begin ###
=head1 NAME
Paws::MachineLearning::DescribeBatchPredictions - Arguments for method DescribeBatchPredictions on L<Paws::MachineLearning>
=head1 DESCRIPTION
This class represents the parameters used for calling the method DescribeBatchPredictions on the
L<Amazon Machine Learning|Paws::MachineLearning> service. Use the attributes of this class
as arguments to method DescribeBatchPredictions.
You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to DescribeBatchPredictions.
=head1 SYNOPSIS
my $machinelearning = Paws->service('MachineLearning');
my $DescribeBatchPredictionsOutput =
$machinelearning->DescribeBatchPredictions(
EQ => 'MyComparatorValue', # OPTIONAL
FilterVariable => 'CreatedAt', # OPTIONAL
GE => 'MyComparatorValue', # OPTIONAL
GT => 'MyComparatorValue', # OPTIONAL
LE => 'MyComparatorValue', # OPTIONAL
LT => 'MyComparatorValue', # OPTIONAL
Limit => 1, # OPTIONAL
NE => 'MyComparatorValue', # OPTIONAL
NextToken => 'MyStringType', # OPTIONAL
Prefix => 'MyComparatorValue', # OPTIONAL
SortOrder => 'asc', # OPTIONAL
);
# Results:
my $NextToken = $DescribeBatchPredictionsOutput->NextToken;
my $Results = $DescribeBatchPredictionsOutput->Results;
# Returns a L<Paws::MachineLearning::DescribeBatchPredictionsOutput> 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.
=head1 ATTRIBUTES
=head2 EQ => Str
The equal to operator. The C<BatchPrediction> results will have
C<FilterVariable> values that exactly match the value specified with
C<EQ>.
=head2 FilterVariable => Str
Use one of the following variables to filter a list of
C<BatchPrediction>:
=over
=item *
C<CreatedAt> - Sets the search criteria to the C<BatchPrediction>
creation date.
=item *
C<Status> - Sets the search criteria to the C<BatchPrediction> status.
=item *
C<Name> - Sets the search criteria to the contents of the
C<BatchPrediction> B< > C<Name>.
=item *
C<IAMUser> - Sets the search criteria to the user account that invoked
the C<BatchPrediction> creation.
=item *
C<MLModelId> - Sets the search criteria to the C<MLModel> used in the
C<BatchPrediction>.
=item *
C<DataSourceId> - Sets the search criteria to the C<DataSource> used in
the C<BatchPrediction>.
=item *
C<DataURI> - Sets the search criteria to the data file(s) used in the
C<BatchPrediction>. The URL can identify either a file or an Amazon
Simple Storage Solution (Amazon S3) bucket or directory.
=back
Valid values are: C<"CreatedAt">, C<"LastUpdatedAt">, C<"Status">, C<"Name">, C<"IAMUser">, C<"MLModelId">, C<"DataSourceId">, C<"DataURI">
=head2 GE => Str
The greater than or equal to operator. The C<BatchPrediction> results
will have C<FilterVariable> values that are greater than or equal to
the value specified with C<GE>.
=head2 GT => Str
The greater than operator. The C<BatchPrediction> results will have
C<FilterVariable> values that are greater than the value specified with
C<GT>.
=head2 LE => Str
The less than or equal to operator. The C<BatchPrediction> results will
have C<FilterVariable> values that are less than or equal to the value
specified with C<LE>.
=head2 Limit => Int
The number of pages of information to include in the result. The range
of acceptable values is C<1> through C<100>. The default value is
C<100>.
=head2 LT => Str
The less than operator. The C<BatchPrediction> results will have
C<FilterVariable> values that are less than the value specified with
C<LT>.
=head2 NE => Str
The not equal to operator. The C<BatchPrediction> results will have
C<FilterVariable> values not equal to the value specified with C<NE>.
=head2 NextToken => Str
An ID of the page in the paginated results.
=head2 Prefix => Str
A string that is found at the beginning of a variable, such as C<Name>
or C<Id>.
For example, a C<Batch Prediction> operation could have the C<Name>
C<2014-09-09-HolidayGiftMailer>. To search for this C<BatchPrediction>,
select C<Name> for the C<FilterVariable> and any of the following
strings for the C<Prefix>:
=over
=item *
2014-09
=item *
2014-09-09
=item *
2014-09-09-Holiday
=back
=head2 SortOrder => Str
A two-value parameter that determines the sequence of the resulting
list of C<MLModel>s.
=over
=item *
C<asc> - Arranges the list in ascending order (A-Z, 0-9).
=item *
C<dsc> - Arranges the list in descending order (Z-A, 9-0).
=back
Results are sorted by C<FilterVariable>.
Valid values are: C<"asc">, C<"dsc">
=head1 SEE ALSO
This class forms part of L<Paws>, documenting arguments for method DescribeBatchPredictions in L<Paws::MachineLearning>
=head1 BUGS and CONTRIBUTIONS
The source code is located here: L<https://github.com/pplu/aws-sdk-perl>
=cut