TransformJobDefinition class
Defines the input needed to run a transform job using the inference specification specified in the algorithm.
Constructors
-
TransformJobDefinition({required TransformInput transformInput, required TransformOutput transformOutput, required TransformResources transformResources, BatchStrategy? batchStrategy, Map<
String, String> ? environment, int? maxConcurrentTransforms, int? maxPayloadInMB}) -
TransformJobDefinition.fromJson(Map<
String, dynamic> json) -
factory
Properties
- batchStrategy → BatchStrategy?
-
A string that determines the number of records included in a single
mini-batch.
final
-
environment
→ Map<
String, String> ? -
The environment variables to set in the Docker container. We support up to
16 key and values entries in the map.
final
- hashCode → int
-
The hash code for this object.
no setterinherited
- maxConcurrentTransforms → int?
-
The maximum number of parallel requests that can be sent to each instance in
a transform job. The default value is 1.
final
- maxPayloadInMB → int?
-
The maximum payload size allowed, in MB. A payload is the data portion of a
record (without metadata).
final
- runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
- transformInput → TransformInput
-
A description of the input source and the way the transform job consumes it.
final
- transformOutput → TransformOutput
-
Identifies the Amazon S3 location where you want Amazon SageMaker to save
the results from the transform job.
final
- transformResources → TransformResources
-
Identifies the ML compute instances for the transform job.
final
Methods
-
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a nonexistent method or property is accessed.
inherited
-
toJson(
) → Map< String, dynamic> -
toString(
) → String -
A string representation of this object.
inherited
Operators
-
operator ==(
Object other) → bool -
The equality operator.
inherited