—

              
package Paws::LookoutMetrics;
  use Moose;
  sub service { 'lookoutmetrics' }
  sub signing_name { 'lookoutmetrics' }
  sub version { '2017-07-25' }
  sub flattened_arrays { 0 }
  has max_attempts => (is => 'ro', isa => 'Int', default => 5);
  has retry => (is => 'ro', isa => 'HashRef', default => sub {
    { base => 'rand', type => 'exponential', growth_factor => 2 }
  });
  has retriables => (is => 'ro', isa => 'ArrayRef', default => sub { [
  ] });
  with 'Paws::API::Caller', 'Paws::API::EndpointResolver', 'Paws::Net::V4Signature', 'Paws::Net::RestJsonCaller';
   
  sub ActivateAnomalyDetector {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::LookoutMetrics::ActivateAnomalyDetector', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub BackTestAnomalyDetector {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::LookoutMetrics::BackTestAnomalyDetector', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub CreateAlert {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::LookoutMetrics::CreateAlert', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub CreateAnomalyDetector {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::LookoutMetrics::CreateAnomalyDetector', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub CreateMetricSet {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::LookoutMetrics::CreateMetricSet', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub DeleteAlert {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::LookoutMetrics::DeleteAlert', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub DeleteAnomalyDetector {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::LookoutMetrics::DeleteAnomalyDetector', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub DescribeAlert {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::LookoutMetrics::DescribeAlert', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub DescribeAnomalyDetectionExecutions {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::LookoutMetrics::DescribeAnomalyDetectionExecutions', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub DescribeAnomalyDetector {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::LookoutMetrics::DescribeAnomalyDetector', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub DescribeMetricSet {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::LookoutMetrics::DescribeMetricSet', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub GetAnomalyGroup {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::LookoutMetrics::GetAnomalyGroup', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub GetFeedback {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::LookoutMetrics::GetFeedback', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub GetSampleData {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::LookoutMetrics::GetSampleData', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub ListAlerts {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::LookoutMetrics::ListAlerts', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub ListAnomalyDetectors {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::LookoutMetrics::ListAnomalyDetectors', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub ListAnomalyGroupSummaries {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::LookoutMetrics::ListAnomalyGroupSummaries', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub ListAnomalyGroupTimeSeries {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::LookoutMetrics::ListAnomalyGroupTimeSeries', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub ListMetricSets {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::LookoutMetrics::ListMetricSets', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub ListTagsForResource {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::LookoutMetrics::ListTagsForResource', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub PutFeedback {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::LookoutMetrics::PutFeedback', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub TagResource {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::LookoutMetrics::TagResource', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub UntagResource {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::LookoutMetrics::UntagResource', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub UpdateAnomalyDetector {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::LookoutMetrics::UpdateAnomalyDetector', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub UpdateMetricSet {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::LookoutMetrics::UpdateMetricSet', @_);
    return $self->caller->do_call($self, $call_object);
  }
   
  sub operations { qw/ActivateAnomalyDetector BackTestAnomalyDetector CreateAlert CreateAnomalyDetector CreateMetricSet DeleteAlert DeleteAnomalyDetector DescribeAlert DescribeAnomalyDetectionExecutions DescribeAnomalyDetector DescribeMetricSet GetAnomalyGroup GetFeedback GetSampleData ListAlerts ListAnomalyDetectors ListAnomalyGroupSummaries ListAnomalyGroupTimeSeries ListMetricSets ListTagsForResource PutFeedback TagResource UntagResource UpdateAnomalyDetector UpdateMetricSet / }
1;
### main pod documentation begin ###
HideShow 594 lines of Pod
=head1 NAME
Paws::LookoutMetrics - Perl Interface to AWS Amazon Lookout for Metrics
=head1 SYNOPSIS
  use Paws;
  my $obj = Paws->service('LookoutMetrics');
  my $res = $obj->Method(
    Arg1 => $val1,
    Arg2 => [ 'V1', 'V2' ],
    # if Arg3 is an object, the HashRef will be used as arguments to the constructor
    # of the arguments type
    Arg3 => { Att1 => 'Val1' },
    # if Arg4 is an array of objects, the HashRefs will be passed as arguments to
    # the constructor of the arguments type
    Arg4 => [ { Att1 => 'Val1'  }, { Att1 => 'Val2' } ],
  );
=head1 DESCRIPTION
This is the I<Amazon Lookout for Metrics API Reference>. For an
introduction to the service with tutorials for getting started, visit
Amazon Lookout for Metrics Developer Guide
(https://docs.aws.amazon.com/lookoutmetrics/latest/dev).
For the AWS API documentation, see L<https://docs.aws.amazon.com/goto/WebAPI/lookoutmetrics-2017-07-25>
=head1 METHODS
=head2 ActivateAnomalyDetector
=over
=item AnomalyDetectorArn => Str
=back
Each argument is described in detail in: L<Paws::LookoutMetrics::ActivateAnomalyDetector>
Returns: a L<Paws::LookoutMetrics::ActivateAnomalyDetectorResponse> instance
Activates an anomaly detector.
=head2 BackTestAnomalyDetector
=over
=item AnomalyDetectorArn => Str
=back
Each argument is described in detail in: L<Paws::LookoutMetrics::BackTestAnomalyDetector>
Returns: a L<Paws::LookoutMetrics::BackTestAnomalyDetectorResponse> instance
Runs a backtest for anomaly detection for the specified resource.
=head2 CreateAlert
=over
=item Action => L<Paws::LookoutMetrics::Action>
=item AlertName => Str
=item AlertSensitivityThreshold => Int
=item AnomalyDetectorArn => Str
=item [AlertDescription => Str]
=item [Tags => L<Paws::LookoutMetrics::TagMap>]
=back
Each argument is described in detail in: L<Paws::LookoutMetrics::CreateAlert>
Returns: a L<Paws::LookoutMetrics::CreateAlertResponse> instance
Creates an alert for an anomaly detector.
=head2 CreateAnomalyDetector
=over
=item AnomalyDetectorConfig => L<Paws::LookoutMetrics::AnomalyDetectorConfig>
=item AnomalyDetectorName => Str
=item [AnomalyDetectorDescription => Str]
=item [KmsKeyArn => Str]
=item [Tags => L<Paws::LookoutMetrics::TagMap>]
=back
Each argument is described in detail in: L<Paws::LookoutMetrics::CreateAnomalyDetector>
Returns: a L<Paws::LookoutMetrics::CreateAnomalyDetectorResponse> instance
Creates an anomaly detector.
=head2 CreateMetricSet
=over
=item AnomalyDetectorArn => Str
=item MetricList => ArrayRef[L<Paws::LookoutMetrics::Metric>]
=item MetricSetName => Str
=item MetricSource => L<Paws::LookoutMetrics::MetricSource>
=item [DimensionList => ArrayRef[Str|Undef]]
=item [MetricSetDescription => Str]
=item [MetricSetFrequency => Str]
=item [Offset => Int]
=item [Tags => L<Paws::LookoutMetrics::TagMap>]
=item [TimestampColumn => L<Paws::LookoutMetrics::TimestampColumn>]
=item [Timezone => Str]
=back
Each argument is described in detail in: L<Paws::LookoutMetrics::CreateMetricSet>
Returns: a L<Paws::LookoutMetrics::CreateMetricSetResponse> instance
Creates a dataset.
=head2 DeleteAlert
=over
=item AlertArn => Str
=back
Each argument is described in detail in: L<Paws::LookoutMetrics::DeleteAlert>
Returns: a L<Paws::LookoutMetrics::DeleteAlertResponse> instance
Deletes an alert.
=head2 DeleteAnomalyDetector
=over
=item AnomalyDetectorArn => Str
=back
Each argument is described in detail in: L<Paws::LookoutMetrics::DeleteAnomalyDetector>
Returns: a L<Paws::LookoutMetrics::DeleteAnomalyDetectorResponse> instance
Deletes a detector. Deleting an anomaly detector will delete all of its
corresponding resources including any configured datasets and alerts.
=head2 DescribeAlert
=over
=item AlertArn => Str
=back
Each argument is described in detail in: L<Paws::LookoutMetrics::DescribeAlert>
Returns: a L<Paws::LookoutMetrics::DescribeAlertResponse> instance
Describes an alert.
Amazon Lookout for Metrics API actions are eventually consistent. If
you do a read operation on a resource immediately after creating or
modifying it, use retries to allow time for the write operation to
complete.
=head2 DescribeAnomalyDetectionExecutions
=over
=item AnomalyDetectorArn => Str
=item [MaxResults => Int]
=item [NextToken => Str]
=item [Timestamp => Str]
=back
Each argument is described in detail in: L<Paws::LookoutMetrics::DescribeAnomalyDetectionExecutions>
Returns: a L<Paws::LookoutMetrics::DescribeAnomalyDetectionExecutionsResponse> instance
Returns information about the status of the specified anomaly detection
jobs.
=head2 DescribeAnomalyDetector
=over
=item AnomalyDetectorArn => Str
=back
Each argument is described in detail in: L<Paws::LookoutMetrics::DescribeAnomalyDetector>
Returns: a L<Paws::LookoutMetrics::DescribeAnomalyDetectorResponse> instance
Describes a detector.
Amazon Lookout for Metrics API actions are eventually consistent. If
you do a read operation on a resource immediately after creating or
modifying it, use retries to allow time for the write operation to
complete.
=head2 DescribeMetricSet
=over
=item MetricSetArn => Str
=back
Each argument is described in detail in: L<Paws::LookoutMetrics::DescribeMetricSet>
Returns: a L<Paws::LookoutMetrics::DescribeMetricSetResponse> instance
Describes a dataset.
Amazon Lookout for Metrics API actions are eventually consistent. If
you do a read operation on a resource immediately after creating or
modifying it, use retries to allow time for the write operation to
complete.
=head2 GetAnomalyGroup
=over
=item AnomalyDetectorArn => Str
=item AnomalyGroupId => Str
=back
Each argument is described in detail in: L<Paws::LookoutMetrics::GetAnomalyGroup>
Returns: a L<Paws::LookoutMetrics::GetAnomalyGroupResponse> instance
Returns details about a group of anomalous metrics.
=head2 GetFeedback
=over
=item AnomalyDetectorArn => Str
=item AnomalyGroupTimeSeriesFeedback => L<Paws::LookoutMetrics::AnomalyGroupTimeSeries>
=item [MaxResults => Int]
=item [NextToken => Str]
=back
Each argument is described in detail in: L<Paws::LookoutMetrics::GetFeedback>
Returns: a L<Paws::LookoutMetrics::GetFeedbackResponse> instance
Get feedback for an anomaly group.
=head2 GetSampleData
=over
=item [S3SourceConfig => L<Paws::LookoutMetrics::SampleDataS3SourceConfig>]
=back
Each argument is described in detail in: L<Paws::LookoutMetrics::GetSampleData>
Returns: a L<Paws::LookoutMetrics::GetSampleDataResponse> instance
Returns a selection of sample records from an Amazon S3 datasource.
=head2 ListAlerts
=over
=item [AnomalyDetectorArn => Str]
=item [MaxResults => Int]
=item [NextToken => Str]
=back
Each argument is described in detail in: L<Paws::LookoutMetrics::ListAlerts>
Returns: a L<Paws::LookoutMetrics::ListAlertsResponse> instance
Lists the alerts attached to a detector.
Amazon Lookout for Metrics API actions are eventually consistent. If
you do a read operation on a resource immediately after creating or
modifying it, use retries to allow time for the write operation to
complete.
=head2 ListAnomalyDetectors
=over
=item [MaxResults => Int]
=item [NextToken => Str]
=back
Each argument is described in detail in: L<Paws::LookoutMetrics::ListAnomalyDetectors>
Returns: a L<Paws::LookoutMetrics::ListAnomalyDetectorsResponse> instance
Lists the detectors in the current AWS Region.
Amazon Lookout for Metrics API actions are eventually consistent. If
you do a read operation on a resource immediately after creating or
modifying it, use retries to allow time for the write operation to
complete.
=head2 ListAnomalyGroupSummaries
=over
=item AnomalyDetectorArn => Str
=item SensitivityThreshold => Int
=item [MaxResults => Int]
=item [NextToken => Str]
=back
Each argument is described in detail in: L<Paws::LookoutMetrics::ListAnomalyGroupSummaries>
Returns: a L<Paws::LookoutMetrics::ListAnomalyGroupSummariesResponse> instance
Returns a list of anomaly groups.
=head2 ListAnomalyGroupTimeSeries
=over
=item AnomalyDetectorArn => Str
=item AnomalyGroupId => Str
=item MetricName => Str
=item [MaxResults => Int]
=item [NextToken => Str]
=back
Each argument is described in detail in: L<Paws::LookoutMetrics::ListAnomalyGroupTimeSeries>
Returns: a L<Paws::LookoutMetrics::ListAnomalyGroupTimeSeriesResponse> instance
Gets a list of anomalous metrics for a measure in an anomaly group.
=head2 ListMetricSets
=over
=item [AnomalyDetectorArn => Str]
=item [MaxResults => Int]
=item [NextToken => Str]
=back
Each argument is described in detail in: L<Paws::LookoutMetrics::ListMetricSets>
Returns: a L<Paws::LookoutMetrics::ListMetricSetsResponse> instance
Lists the datasets in the current AWS Region.
Amazon Lookout for Metrics API actions are eventually consistent. If
you do a read operation on a resource immediately after creating or
modifying it, use retries to allow time for the write operation to
complete.
=head2 ListTagsForResource
=over
=item ResourceArn => Str
=back
Each argument is described in detail in: L<Paws::LookoutMetrics::ListTagsForResource>
Returns: a L<Paws::LookoutMetrics::ListTagsForResourceResponse> instance
Gets a list of tags
(https://docs.aws.amazon.com/lookoutmetrics/latest/dev/detectors-tags.html)
for a detector, dataset, or alert.
=head2 PutFeedback
=over
=item AnomalyDetectorArn => Str
=item AnomalyGroupTimeSeriesFeedback => L<Paws::LookoutMetrics::AnomalyGroupTimeSeriesFeedback>
=back
Each argument is described in detail in: L<Paws::LookoutMetrics::PutFeedback>
Returns: a L<Paws::LookoutMetrics::PutFeedbackResponse> instance
Add feedback for an anomalous metric.
=head2 TagResource
=over
=item ResourceArn => Str
=item Tags => L<Paws::LookoutMetrics::TagMap>
=back
Each argument is described in detail in: L<Paws::LookoutMetrics::TagResource>
Returns: a L<Paws::LookoutMetrics::TagResourceResponse> instance
Adds tags
(https://docs.aws.amazon.com/lookoutmetrics/latest/dev/detectors-tags.html)
to a detector, dataset, or alert.
=head2 UntagResource
=over
=item ResourceArn => Str
=item TagKeys => ArrayRef[Str|Undef]
=back
Each argument is described in detail in: L<Paws::LookoutMetrics::UntagResource>
Returns: a L<Paws::LookoutMetrics::UntagResourceResponse> instance
Removes tags
(https://docs.aws.amazon.com/lookoutmetrics/latest/dev/detectors-tags.html)
from a detector, dataset, or alert.
=head2 UpdateAnomalyDetector
=over
=item AnomalyDetectorArn => Str
=item [AnomalyDetectorConfig => L<Paws::LookoutMetrics::AnomalyDetectorConfig>]
=item [AnomalyDetectorDescription => Str]
=item [KmsKeyArn => Str]
=back
Each argument is described in detail in: L<Paws::LookoutMetrics::UpdateAnomalyDetector>
Returns: a L<Paws::LookoutMetrics::UpdateAnomalyDetectorResponse> instance
Updates a detector. After activation, you can only change a detector's
ingestion delay and description.
=head2 UpdateMetricSet
=over
=item MetricSetArn => Str
=item [DimensionList => ArrayRef[Str|Undef]]
=item [MetricList => ArrayRef[L<Paws::LookoutMetrics::Metric>]]
=item [MetricSetDescription => Str]
=item [MetricSetFrequency => Str]
=item [MetricSource => L<Paws::LookoutMetrics::MetricSource>]
=item [Offset => Int]
=item [TimestampColumn => L<Paws::LookoutMetrics::TimestampColumn>]
=back
Each argument is described in detail in: L<Paws::LookoutMetrics::UpdateMetricSet>
Returns: a L<Paws::LookoutMetrics::UpdateMetricSetResponse> instance
Updates a dataset.
=head1 PAGINATORS
Paginator methods are helpers that repetively call methods that return partial results
=head1 SEE ALSO
This service class forms part of L<Paws>
=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