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# Generated by default/object.tt
package Paws::Glue::MLTransform;
  use Moose;
  has CreatedOn => (is => 'ro', isa => 'Str');
  has Description => (is => 'ro', isa => 'Str');
  has EvaluationMetrics => (is => 'ro', isa => 'Paws::Glue::EvaluationMetrics');
  has GlueVersion => (is => 'ro', isa => 'Str');
  has InputRecordTables => (is => 'ro', isa => 'ArrayRef[Paws::Glue::GlueTable]');
  has LabelCount => (is => 'ro', isa => 'Int');
  has LastModifiedOn => (is => 'ro', isa => 'Str');
  has MaxCapacity => (is => 'ro', isa => 'Num');
  has MaxRetries => (is => 'ro', isa => 'Int');
  has Name => (is => 'ro', isa => 'Str');
  has NumberOfWorkers => (is => 'ro', isa => 'Int');
  has Parameters => (is => 'ro', isa => 'Paws::Glue::TransformParameters');
  has Role => (is => 'ro', isa => 'Str');
  has Schema => (is => 'ro', isa => 'ArrayRef[Paws::Glue::SchemaColumn]');
  has Status => (is => 'ro', isa => 'Str');
  has Timeout => (is => 'ro', isa => 'Int');
  has TransformEncryption => (is => 'ro', isa => 'Paws::Glue::TransformEncryption');
  has TransformId => (is => 'ro', isa => 'Str');
  has WorkerType => (is => 'ro', isa => 'Str');
1;
### main pod documentation begin ###
HideShow 265 lines of Pod
=head1 NAME
Paws::Glue::MLTransform
=head1 USAGE
This class represents one of two things:
=head3 Arguments in a call to a service
Use the attributes of this class as arguments to methods. You shouldn't make instances of this class. 
Each attribute should be used as a named argument in the calls that expect this type of object.
As an example, if Att1 is expected to be a Paws::Glue::MLTransform object:
  $service_obj->Method(Att1 => { CreatedOn => $value, ..., WorkerType => $value  });
=head3 Results returned from an API call
Use accessors for each attribute. If Att1 is expected to be an Paws::Glue::MLTransform object:
  $result = $service_obj->Method(...);
  $result->Att1->CreatedOn
=head1 DESCRIPTION
A structure for a machine learning transform.
=head1 ATTRIBUTES
=head2 CreatedOn => Str
A timestamp. The time and date that this machine learning transform was
created.
=head2 Description => Str
A user-defined, long-form description text for the machine learning
transform. Descriptions are not guaranteed to be unique and can be
changed at any time.
=head2 EvaluationMetrics => L<Paws::Glue::EvaluationMetrics>
An C<EvaluationMetrics> object. Evaluation metrics provide an estimate
of the quality of your machine learning transform.
=head2 GlueVersion => Str
This value determines which version of Glue this machine learning
transform is compatible with. Glue 1.0 is recommended for most
customers. If the value is not set, the Glue compatibility defaults to
Glue 0.9. For more information, see Glue Versions
(https://docs.aws.amazon.com/glue/latest/dg/release-notes.html#release-notes-versions)
in the developer guide.
=head2 InputRecordTables => ArrayRef[L<Paws::Glue::GlueTable>]
A list of Glue table definitions used by the transform.
=head2 LabelCount => Int
A count identifier for the labeling files generated by Glue for this
transform. As you create a better transform, you can iteratively
download, label, and upload the labeling file.
=head2 LastModifiedOn => Str
A timestamp. The last point in time when this machine learning
transform was modified.
=head2 MaxCapacity => Num
The number of Glue data processing units (DPUs) that are allocated to
task runs for this transform. You can allocate from 2 to 100 DPUs; the
default is 10. A DPU is a relative measure of processing power that
consists of 4 vCPUs of compute capacity and 16 GB of memory. For more
information, see the Glue pricing page
(http://aws.amazon.com/glue/pricing/).
C<MaxCapacity> is a mutually exclusive option with C<NumberOfWorkers>
and C<WorkerType>.
=over
=item *
If either C<NumberOfWorkers> or C<WorkerType> is set, then
C<MaxCapacity> cannot be set.
=item *
If C<MaxCapacity> is set then neither C<NumberOfWorkers> or
C<WorkerType> can be set.
=item *
If C<WorkerType> is set, then C<NumberOfWorkers> is required (and vice
versa).
=item *
C<MaxCapacity> and C<NumberOfWorkers> must both be at least 1.
=back
When the C<WorkerType> field is set to a value other than C<Standard>,
the C<MaxCapacity> field is set automatically and becomes read-only.
=head2 MaxRetries => Int
The maximum number of times to retry after an C<MLTaskRun> of the
machine learning transform fails.
=head2 Name => Str
A user-defined name for the machine learning transform. Names are not
guaranteed unique and can be changed at any time.
=head2 NumberOfWorkers => Int
The number of workers of a defined C<workerType> that are allocated
when a task of the transform runs.
If C<WorkerType> is set, then C<NumberOfWorkers> is required (and vice
versa).
=head2 Parameters => L<Paws::Glue::TransformParameters>
A C<TransformParameters> object. You can use parameters to tune
(customize) the behavior of the machine learning transform by
specifying what data it learns from and your preference on various
tradeoffs (such as precious vs. recall, or accuracy vs. cost).
=head2 Role => Str
The name or Amazon Resource Name (ARN) of the IAM role with the
required permissions. The required permissions include both Glue
service role permissions to Glue resources, and Amazon S3 permissions
required by the transform.
=over
=item *
This role needs Glue service role permissions to allow access to
resources in Glue. See Attach a Policy to IAM Users That Access Glue
(https://docs.aws.amazon.com/glue/latest/dg/attach-policy-iam-user.html).
=item *
This role needs permission to your Amazon Simple Storage Service
(Amazon S3) sources, targets, temporary directory, scripts, and any
libraries used by the task run for this transform.
=back
=head2 Schema => ArrayRef[L<Paws::Glue::SchemaColumn>]
A map of key-value pairs representing the columns and data types that
this transform can run against. Has an upper bound of 100 columns.
=head2 Status => Str
The current status of the machine learning transform.
=head2 Timeout => Int
The timeout in minutes of the machine learning transform.
=head2 TransformEncryption => L<Paws::Glue::TransformEncryption>
The encryption-at-rest settings of the transform that apply to
accessing user data. Machine learning transforms can access user data
encrypted in Amazon S3 using KMS.
=head2 TransformId => Str
The unique transform ID that is generated for the machine learning
transform. The ID is guaranteed to be unique and does not change.
=head2 WorkerType => Str
The type of predefined worker that is allocated when a task of this
transform runs. Accepts a value of Standard, G.1X, or G.2X.
=over
=item *
For the C<Standard> worker type, each worker provides 4 vCPU, 16 GB of
memory and a 50GB disk, and 2 executors per worker.
=item *
For the C<G.1X> worker type, each worker provides 4 vCPU, 16 GB of
memory and a 64GB disk, and 1 executor per worker.
=item *
For the C<G.2X> worker type, each worker provides 8 vCPU, 32 GB of
memory and a 128GB disk, and 1 executor per worker.
=back
C<MaxCapacity> is a mutually exclusive option with C<NumberOfWorkers>
and C<WorkerType>.
=over
=item *
If either C<NumberOfWorkers> or C<WorkerType> is set, then
C<MaxCapacity> cannot be set.
=item *
If C<MaxCapacity> is set then neither C<NumberOfWorkers> or
C<WorkerType> can be set.
=item *
If C<WorkerType> is set, then C<NumberOfWorkers> is required (and vice
versa).
=item *
C<MaxCapacity> and C<NumberOfWorkers> must both be at least 1.
=back
=head1 SEE ALSO
This class forms part of L<Paws>, describing an object used in L<Paws::Glue>
=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