pub struct TransformJobDefinition {
pub batch_strategy: Option<String>,
pub environment: Option<HashMap<String, String>>,
pub max_concurrent_transforms: Option<i64>,
pub max_payload_in_mb: Option<i64>,
pub transform_input: TransformInput,
pub transform_output: TransformOutput,
pub transform_resources: TransformResources,
}
Expand description
Defines the input needed to run a transform job using the inference specification specified in the algorithm.
Fields§
§batch_strategy: Option<String>
A string that determines the number of records included in a single mini-batch.
SingleRecord
means only one record is used per mini-batch. MultiRecord
means a mini-batch is set to contain as many records that can fit within the MaxPayloadInMB
limit.
environment: Option<HashMap<String, String>>
The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
max_concurrent_transforms: Option<i64>
The maximum number of parallel requests that can be sent to each instance in a transform job. The default value is 1.
max_payload_in_mb: Option<i64>
The maximum payload size allowed, in MB. A payload is the data portion of a record (without metadata).
transform_input: TransformInput
A description of the input source and the way the transform job consumes it.
transform_output: TransformOutput
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
transform_resources: TransformResources
Identifies the ML compute instances for the transform job.
Trait Implementations§
Source§impl Clone for TransformJobDefinition
impl Clone for TransformJobDefinition
Source§fn clone(&self) -> TransformJobDefinition
fn clone(&self) -> TransformJobDefinition
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
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