Class MLTransform
- All Implemented Interfaces:
Serializable
,SdkPojo
,ToCopyableBuilder<MLTransform.Builder,
MLTransform>
A structure for a machine learning transform.
- See Also:
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Nested Class Summary
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Method Summary
Modifier and TypeMethodDescriptionstatic MLTransform.Builder
builder()
final Instant
A timestamp.final String
A user-defined, long-form description text for the machine learning transform.final boolean
final boolean
equalsBySdkFields
(Object obj) Indicates whether some other object is "equal to" this one by SDK fields.final EvaluationMetrics
AnEvaluationMetrics
object.final <T> Optional
<T> getValueForField
(String fieldName, Class<T> clazz) final String
This value determines which version of Glue this machine learning transform is compatible with.final int
hashCode()
final boolean
For responses, this returns true if the service returned a value for the InputRecordTables property.final boolean
For responses, this returns true if the service returned a value for the Schema property.A list of Glue table definitions used by the transform.final Integer
A count identifier for the labeling files generated by Glue for this transform.final Instant
A timestamp.final Double
The number of Glue data processing units (DPUs) that are allocated to task runs for this transform.final Integer
The maximum number of times to retry after anMLTaskRun
of the machine learning transform fails.final String
name()
A user-defined name for the machine learning transform.final Integer
The number of workers of a definedworkerType
that are allocated when a task of the transform runs.final TransformParameters
ATransformParameters
object.final String
role()
The name or Amazon Resource Name (ARN) of the IAM role with the required permissions.final List
<SchemaColumn> schema()
A map of key-value pairs representing the columns and data types that this transform can run against.static Class
<? extends MLTransform.Builder> final TransformStatusType
status()
The current status of the machine learning transform.final String
The current status of the machine learning transform.final Integer
timeout()
The timeout in minutes of the machine learning transform.Take this object and create a builder that contains all of the current property values of this object.final String
toString()
Returns a string representation of this object.final TransformEncryption
The encryption-at-rest settings of the transform that apply to accessing user data.final String
The unique transform ID that is generated for the machine learning transform.final WorkerType
The type of predefined worker that is allocated when a task of this transform runs.final String
The type of predefined worker that is allocated when a task of this transform runs.Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy
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Method Details
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transformId
The unique transform ID that is generated for the machine learning transform. The ID is guaranteed to be unique and does not change.
- Returns:
- The unique transform ID that is generated for the machine learning transform. The ID is guaranteed to be unique and does not change.
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name
A user-defined name for the machine learning transform. Names are not guaranteed unique and can be changed at any time.
- Returns:
- A user-defined name for the machine learning transform. Names are not guaranteed unique and can be changed at any time.
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description
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.
- Returns:
- 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.
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status
The current status of the machine learning transform.
If the service returns an enum value that is not available in the current SDK version,
status
will returnTransformStatusType.UNKNOWN_TO_SDK_VERSION
. The raw value returned by the service is available fromstatusAsString()
.- Returns:
- The current status of the machine learning transform.
- See Also:
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statusAsString
The current status of the machine learning transform.
If the service returns an enum value that is not available in the current SDK version,
status
will returnTransformStatusType.UNKNOWN_TO_SDK_VERSION
. The raw value returned by the service is available fromstatusAsString()
.- Returns:
- The current status of the machine learning transform.
- See Also:
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createdOn
A timestamp. The time and date that this machine learning transform was created.
- Returns:
- A timestamp. The time and date that this machine learning transform was created.
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lastModifiedOn
A timestamp. The last point in time when this machine learning transform was modified.
- Returns:
- A timestamp. The last point in time when this machine learning transform was modified.
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hasInputRecordTables
public final boolean hasInputRecordTables()For responses, this returns true if the service returned a value for the InputRecordTables property. This DOES NOT check that the value is non-empty (for which, you should check theisEmpty()
method on the property). This is useful because the SDK will never return a null collection or map, but you may need to differentiate between the service returning nothing (or null) and the service returning an empty collection or map. For requests, this returns true if a value for the property was specified in the request builder, and false if a value was not specified. -
inputRecordTables
A list of Glue table definitions used by the transform.
Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.
This method will never return null. If you would like to know whether the service returned this field (so that you can differentiate between null and empty), you can use the
hasInputRecordTables()
method.- Returns:
- A list of Glue table definitions used by the transform.
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parameters
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).- Returns:
- 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).
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evaluationMetrics
An
EvaluationMetrics
object. Evaluation metrics provide an estimate of the quality of your machine learning transform.- Returns:
- An
EvaluationMetrics
object. Evaluation metrics provide an estimate of the quality of your machine learning transform.
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labelCount
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.
- Returns:
- 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.
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hasSchema
public final boolean hasSchema()For responses, this returns true if the service returned a value for the Schema property. This DOES NOT check that the value is non-empty (for which, you should check theisEmpty()
method on the property). This is useful because the SDK will never return a null collection or map, but you may need to differentiate between the service returning nothing (or null) and the service returning an empty collection or map. For requests, this returns true if a value for the property was specified in the request builder, and false if a value was not specified. -
schema
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.
Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.
This method will never return null. If you would like to know whether the service returned this field (so that you can differentiate between null and empty), you can use the
hasSchema()
method.- Returns:
- 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.
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role
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.
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This role needs Glue service role permissions to allow access to resources in Glue. See Attach a Policy to IAM Users That Access Glue.
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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.
- Returns:
- 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.
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This role needs Glue service role permissions to allow access to resources in Glue. See Attach a Policy to IAM Users That Access Glue.
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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.
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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.
- Returns:
- 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.
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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.- Returns:
- 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. -
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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.
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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.
If the service returns an enum value that is not available in the current SDK version,
workerType
will returnWorkerType.UNKNOWN_TO_SDK_VERSION
. The raw value returned by the service is available fromworkerTypeAsString()
.- Returns:
- 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.
-
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.
-
- See Also:
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workerTypeAsString
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.
-
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.
If the service returns an enum value that is not available in the current SDK version,
workerType
will returnWorkerType.UNKNOWN_TO_SDK_VERSION
. The raw value returned by the service is available fromworkerTypeAsString()
.- Returns:
- 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.
-
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.
-
- See Also:
-
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numberOfWorkers
The number of workers of a defined
workerType
that are allocated when a task of the transform runs.If
WorkerType
is set, thenNumberOfWorkers
is required (and vice versa).- Returns:
- The number of workers of a defined
workerType
that are allocated when a task of the transform runs.If
WorkerType
is set, thenNumberOfWorkers
is required (and vice versa).
-
timeout
The timeout in minutes of the machine learning transform.
- Returns:
- The timeout in minutes of the machine learning transform.
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maxRetries
The maximum number of times to retry after an
MLTaskRun
of the machine learning transform fails.- Returns:
- The maximum number of times to retry after an
MLTaskRun
of the machine learning transform fails.
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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.
- Returns:
- 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.
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toBuilder
Description copied from interface:ToCopyableBuilder
Take this object and create a builder that contains all of the current property values of this object.- Specified by:
toBuilder
in interfaceToCopyableBuilder<MLTransform.Builder,
MLTransform> - Returns:
- a builder for type T
-
builder
-
serializableBuilderClass
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hashCode
public final int hashCode() -
equals
-
equalsBySdkFields
Description copied from interface:SdkPojo
Indicates whether some other object is "equal to" this one by SDK fields. An SDK field is a modeled, non-inherited field in anSdkPojo
class, and is generated based on a service model.If an
SdkPojo
class does not have any inherited fields,equalsBySdkFields
andequals
are essentially the same.- Specified by:
equalsBySdkFields
in interfaceSdkPojo
- Parameters:
obj
- the object to be compared with- Returns:
- true if the other object equals to this object by sdk fields, false otherwise.
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toString
Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value. -
getValueForField
-
sdkFields
-