package Paws::PersonalizeEvents; use Moose; sub service { 'personalize-events' } sub signing_name { 'personalize' } sub version { '2018-03-22' } 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 PutEvents { my $self = shift; my $call_object = $self->new_with_coercions('Paws::PersonalizeEvents::PutEvents', @_); return $self->caller->do_call($self, $call_object); } sub PutItems { my $self = shift; my $call_object = $self->new_with_coercions('Paws::PersonalizeEvents::PutItems', @_); return $self->caller->do_call($self, $call_object); } sub PutUsers { my $self = shift; my $call_object = $self->new_with_coercions('Paws::PersonalizeEvents::PutUsers', @_); return $self->caller->do_call($self, $call_object); } sub operations { qw/PutEvents PutItems PutUsers / } 1; ### main pod documentation begin ### =head1 NAME Paws::PersonalizeEvents - Perl Interface to AWS Amazon Personalize Events =head1 SYNOPSIS use Paws; my $obj = Paws->service('PersonalizeEvents'); 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 Amazon Personalize can consume real-time user event data, such as I or I data, and use it for model training either alone or combined with historical data. For more information see Recording Events (https://docs.aws.amazon.com/personalize/latest/dg/recording-events.html). For the AWS API documentation, see L =head1 METHODS =head2 PutEvents =over =item EventList => ArrayRef[L] =item SessionId => Str =item TrackingId => Str =item [UserId => Str] =back Each argument is described in detail in: L Returns: nothing Records user interaction event data. For more information see Recording Events (https://docs.aws.amazon.com/personalize/latest/dg/recording-events.html). =head2 PutItems =over =item DatasetArn => Str =item Items => ArrayRef[L] =back Each argument is described in detail in: L Returns: nothing Adds one or more items to an Items dataset. For more information see Importing Items Incrementally (https://docs.aws.amazon.com/personalize/latest/dg/importing-items.html). =head2 PutUsers =over =item DatasetArn => Str =item Users => ArrayRef[L] =back Each argument is described in detail in: L Returns: nothing Adds one or more users to a Users dataset. For more information see Importing Users Incrementally (https://docs.aws.amazon.com/personalize/latest/dg/importing-users.html). =head1 PAGINATORS Paginator methods are helpers that repetively call methods that return partial results =head1 SEE ALSO This service class forms part of L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut