Struct aws_sdk_sagemaker::model::BatchTransformInput
source · #[non_exhaustive]pub struct BatchTransformInput { /* private fields */ }
Expand description
Input object for the batch transform job.
Implementations§
source§impl BatchTransformInput
impl BatchTransformInput
sourcepub fn data_captured_destination_s3_uri(&self) -> Option<&str>
pub fn data_captured_destination_s3_uri(&self) -> Option<&str>
The Amazon S3 location being used to capture the data.
sourcepub fn dataset_format(&self) -> Option<&MonitoringDatasetFormat>
pub fn dataset_format(&self) -> Option<&MonitoringDatasetFormat>
The dataset format for your batch transform job.
sourcepub fn local_path(&self) -> Option<&str>
pub fn local_path(&self) -> Option<&str>
Path to the filesystem where the batch transform data is available to the container.
sourcepub fn s3_input_mode(&self) -> Option<&ProcessingS3InputMode>
pub fn s3_input_mode(&self) -> Option<&ProcessingS3InputMode>
Whether the Pipe
or File
is used as the input mode for transferring data for the monitoring job. Pipe
mode is recommended for large datasets. File
mode is useful for small files that fit in memory. Defaults to File
.
sourcepub fn s3_data_distribution_type(
&self
) -> Option<&ProcessingS3DataDistributionType>
pub fn s3_data_distribution_type(
&self
) -> Option<&ProcessingS3DataDistributionType>
Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defaults to FullyReplicated
sourcepub fn features_attribute(&self) -> Option<&str>
pub fn features_attribute(&self) -> Option<&str>
The attributes of the input data that are the input features.
sourcepub fn inference_attribute(&self) -> Option<&str>
pub fn inference_attribute(&self) -> Option<&str>
The attribute of the input data that represents the ground truth label.
sourcepub fn probability_attribute(&self) -> Option<&str>
pub fn probability_attribute(&self) -> Option<&str>
In a classification problem, the attribute that represents the class probability.
sourcepub fn probability_threshold_attribute(&self) -> Option<f64>
pub fn probability_threshold_attribute(&self) -> Option<f64>
The threshold for the class probability to be evaluated as a positive result.
sourcepub fn start_time_offset(&self) -> Option<&str>
pub fn start_time_offset(&self) -> Option<&str>
If specified, monitoring jobs substract this time from the start time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.
sourcepub fn end_time_offset(&self) -> Option<&str>
pub fn end_time_offset(&self) -> Option<&str>
If specified, monitoring jobs substract this time from the end time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.
source§impl BatchTransformInput
impl BatchTransformInput
sourcepub fn builder() -> Builder
pub fn builder() -> Builder
Creates a new builder-style object to manufacture BatchTransformInput
.
Trait Implementations§
source§impl Clone for BatchTransformInput
impl Clone for BatchTransformInput
source§fn clone(&self) -> BatchTransformInput
fn clone(&self) -> BatchTransformInput
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read moresource§impl Debug for BatchTransformInput
impl Debug for BatchTransformInput
source§impl PartialEq<BatchTransformInput> for BatchTransformInput
impl PartialEq<BatchTransformInput> for BatchTransformInput
source§fn eq(&self, other: &BatchTransformInput) -> bool
fn eq(&self, other: &BatchTransformInput) -> bool
self
and other
values to be equal, and is used
by ==
.