Create Ml Transform
glue_create_ml_transform | R Documentation |
Creates an Glue machine learning transform¶
Description¶
Creates an Glue machine learning transform. This operation creates the transform and all the necessary parameters to train it.
Call this operation as the first step in the process of using a machine
learning transform (such as the FindMatches
transform) for
deduplicating data. You can provide an optional Description
, in
addition to the parameters that you want to use for your algorithm.
You must also specify certain parameters for the tasks that Glue runs on
your behalf as part of learning from your data and creating a
high-quality machine learning transform. These parameters include
Role
, and optionally, AllocatedCapacity
, Timeout
, and
MaxRetries
. For more information, see
Jobs.
Usage¶
glue_create_ml_transform(Name, Description, InputRecordTables,
Parameters, Role, GlueVersion, MaxCapacity, WorkerType, NumberOfWorkers,
Timeout, MaxRetries, Tags, TransformEncryption)
Arguments¶
Name
[required] The unique name that you give the transform when you create it.
Description
A description of the machine learning transform that is being defined. The default is an empty string.
InputRecordTables
[required] A list of Glue table definitions used by the transform.
Parameters
[required] The algorithmic parameters that are specific to the transform type used. Conditionally dependent on the transform type.
Role
[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.
GlueVersion
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.
MaxCapacity
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 withNumberOfWorkers
andWorkerType
.If either
NumberOfWorkers
orWorkerType
is set, thenMaxCapacity
cannot be set.If
MaxCapacity
is set then neitherNumberOfWorkers
orWorkerType
can be set.If
WorkerType
is set, thenNumberOfWorkers
is required (and vice versa).MaxCapacity
andNumberOfWorkers
must both be at least 1.
When the
WorkerType
field is set to a value other thanStandard
, theMaxCapacity
field is set automatically and becomes read-only.When the
WorkerType
field is set to a value other thanStandard
, theMaxCapacity
field is set automatically and becomes read-only.WorkerType
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 withNumberOfWorkers
andWorkerType
.If either
NumberOfWorkers
orWorkerType
is set, thenMaxCapacity
cannot be set.If
MaxCapacity
is set then neitherNumberOfWorkers
orWorkerType
can be set.If
WorkerType
is set, thenNumberOfWorkers
is required (and vice versa).MaxCapacity
andNumberOfWorkers
must both be at least 1.
NumberOfWorkers
The number of workers of a defined
workerType
that are allocated when this task runs.If
WorkerType
is set, thenNumberOfWorkers
is required (and vice versa).Timeout
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).MaxRetries
The maximum number of times to retry a task for this transform after a task run fails.
Tags
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.
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.
Value¶
A list with the following syntax:
Request syntax¶
svc$create_ml_transform(
Name = "string",
Description = "string",
InputRecordTables = list(
list(
DatabaseName = "string",
TableName = "string",
CatalogId = "string",
ConnectionName = "string",
AdditionalOptions = list(
"string"
)
)
),
Parameters = list(
TransformType = "FIND_MATCHES",
FindMatchesParameters = list(
PrimaryKeyColumnName = "string",
PrecisionRecallTradeoff = 123.0,
AccuracyCostTradeoff = 123.0,
EnforceProvidedLabels = TRUE|FALSE
)
),
Role = "string",
GlueVersion = "string",
MaxCapacity = 123.0,
WorkerType = "Standard"|"G.1X"|"G.2X"|"G.025X"|"G.4X"|"G.8X"|"Z.2X",
NumberOfWorkers = 123,
Timeout = 123,
MaxRetries = 123,
Tags = list(
"string"
),
TransformEncryption = list(
MlUserDataEncryption = list(
MlUserDataEncryptionMode = "DISABLED"|"SSE-KMS",
KmsKeyId = "string"
),
TaskRunSecurityConfigurationName = "string"
)
)