Creates an Glue machine learning transform. This operation creates the transform and all the necessary parameters to train it.
See https://www.paws-r-sdk.com/docs/glue_create_ml_transform/ for full documentation.
glue_create_ml_transform(
Name,
Description = NULL,
InputRecordTables,
Parameters,
Role,
GlueVersion = NULL,
MaxCapacity = NULL,
WorkerType = NULL,
NumberOfWorkers = NULL,
Timeout = NULL,
MaxRetries = NULL,
Tags = NULL,
TransformEncryption = NULL
)
[required] The unique name that you give the transform when you create it.
A description of the machine learning transform that is being defined. The default is an empty string.
[required] A list of Glue table definitions used by the transform.
[required] The algorithmic parameters that are specific to the transform type used. Conditionally dependent on the transform type.
[required] 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.
This role needs Glue service role permissions to allow access to resources in Glue. See Attach a Policy to IAM Users That Access Glue.
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.
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 in the developer guide.
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.
MaxCapacity
is a mutually exclusive option with NumberOfWorkers
and
WorkerType
.
If either NumberOfWorkers
or WorkerType
is set, then
MaxCapacity
cannot be set.
If MaxCapacity
is set then neither NumberOfWorkers
or
WorkerType
can be set.
If WorkerType
is set, then NumberOfWorkers
is required (and vice
versa).
MaxCapacity
and NumberOfWorkers
must both be at least 1.
When the WorkerType
field is set to a value other than Standard
, the
MaxCapacity
field is set automatically and becomes read-only.
When the WorkerType
field is set to a value other than Standard
, the
MaxCapacity
field is set automatically and becomes read-only.
The type of predefined worker that is allocated when this task runs. Accepts a value of Standard, G.1X, or G.2X.
For the Standard
worker type, each worker provides 4 vCPU, 16 GB
of memory and a 50GB disk, and 2 executors per worker.
For the G.1X
worker type, each worker provides 4 vCPU, 16 GB of
memory and a 64GB disk, and 1 executor per worker.
For the G.2X
worker type, each worker provides 8 vCPU, 32 GB of
memory and a 128GB disk, and 1 executor per worker.
MaxCapacity
is a mutually exclusive option with NumberOfWorkers
and
WorkerType
.
If either NumberOfWorkers
or WorkerType
is set, then
MaxCapacity
cannot be set.
If MaxCapacity
is set then neither NumberOfWorkers
or
WorkerType
can be set.
If WorkerType
is set, then NumberOfWorkers
is required (and vice
versa).
MaxCapacity
and NumberOfWorkers
must both be at least 1.
The number of workers of a defined workerType
that are allocated when
this task runs.
If WorkerType
is set, then NumberOfWorkers
is required (and vice
versa).
The timeout of the task run for this transform in minutes. This is the
maximum time that a task run for this transform can consume resources
before it is terminated and enters TIMEOUT
status. The default is
2,880 minutes (48 hours).
The maximum number of times to retry a task for this transform after a task run fails.
The tags to use with this machine learning transform. You may use tags to limit access to the machine learning transform. For more information about tags in Glue, see Amazon Web Services Tags in Glue in the developer guide.
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.