MLTransform class
A structure for a machine learning transform.
Constructors
-
MLTransform({DateTime? createdOn, String? description, EvaluationMetrics? evaluationMetrics, String? glueVersion, List<
GlueTable> ? inputRecordTables, int? labelCount, DateTime? lastModifiedOn, double? maxCapacity, int? maxRetries, String? name, int? numberOfWorkers, TransformParameters? parameters, String? role, List<SchemaColumn> ? schema, TransformStatusType? status, int? timeout, TransformEncryption? transformEncryption, String? transformId, WorkerType? workerType}) -
MLTransform.fromJson(Map<
String, dynamic> json) -
factory
Properties
- createdOn → DateTime?
-
A timestamp. The time and date that this machine learning transform was
created.
final
- description → String?
-
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.
final
- evaluationMetrics → EvaluationMetrics?
-
An
EvaluationMetrics
object. Evaluation metrics provide an estimate of the quality of your machine learning transform.final - glueVersion → String?
-
This value determines which version of AWS 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 AWS
Glue Versions in the developer guide.
final
- hashCode → int
-
The hash code for this object.
no setterinherited
-
inputRecordTables
→ List<
GlueTable> ? -
A list of AWS Glue table definitions used by the transform.
final
- labelCount → int?
-
A count identifier for the labeling files generated by AWS Glue for this
transform. As you create a better transform, you can iteratively download,
label, and upload the labeling file.
final
- lastModifiedOn → DateTime?
-
A timestamp. The last point in time when this machine learning transform was
modified.
final
- maxCapacity → double?
-
The number of AWS 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 AWS Glue pricing
page.
final
- maxRetries → int?
-
The maximum number of times to retry after an
MLTaskRun
of the machine learning transform fails.final - name → String?
-
A user-defined name for the machine learning transform. Names are not
guaranteed unique and can be changed at any time.
final
- numberOfWorkers → int?
-
The number of workers of a defined
workerType
that are allocated when a task of the transform runs.final - parameters → TransformParameters?
-
A
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).final - role → String?
-
The name or Amazon Resource Name (ARN) of the IAM role with the required
permissions. The required permissions include both AWS Glue service role
permissions to AWS Glue resources, and Amazon S3 permissions required by the
transform.
final
- runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
-
schema
→ List<
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.
final
- status → TransformStatusType?
-
The current status of the machine learning transform.
final
- timeout → int?
-
The timeout in minutes of the machine learning transform.
final
- transformEncryption → 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.
final
- transformId → String?
-
The unique transform ID that is generated for the machine learning
transform. The ID is guaranteed to be unique and does not change.
final
- workerType → WorkerType?
-
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.
final
Methods
-
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a nonexistent method or property is accessed.
inherited
-
toString(
) → String -
A string representation of this object.
inherited
Operators
-
operator ==(
Object other) → bool -
The equality operator.
inherited