Struct aws_sdk_sagemaker::types::builders::EndpointInputBuilder

#[non_exhaustive]
pub struct EndpointInputBuilder { /* private fields */ }

A builder for EndpointInput.

Implementations

impl EndpointInputBuilder

pub fn endpoint_name(self, input: impl Into<String>) -> Self

An endpoint in customer's account which has enabled DataCaptureConfig enabled.

This field is required.

pub fn set_endpoint_name(self, input: Option<String>) -> Self

An endpoint in customer's account which has enabled DataCaptureConfig enabled.

pub fn get_endpoint_name(&self) -> &Option<String>

An endpoint in customer's account which has enabled DataCaptureConfig enabled.

pub fn local_path(self, input: impl Into<String>) -> Self

Path to the filesystem where the endpoint data is available to the container.

This field is required.

pub fn set_local_path(self, input: Option<String>) -> Self

Path to the filesystem where the endpoint data is available to the container.

pub fn get_local_path(&self) -> &Option<String>

Path to the filesystem where the endpoint data is available to the container.

pub fn s3_input_mode(self, input: ProcessingS3InputMode) -> Self

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.

pub fn set_s3_input_mode(self, input: Option<ProcessingS3InputMode>) -> Self

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.

pub fn get_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.

pub fn s3_data_distribution_type( self, input: ProcessingS3DataDistributionType ) -> Self

Whether input data distributed in Amazon S3 is fully replicated or sharded by an Amazon S3 key. Defaults to FullyReplicated

pub fn set_s3_data_distribution_type( self, input: Option<ProcessingS3DataDistributionType> ) -> Self

Whether input data distributed in Amazon S3 is fully replicated or sharded by an Amazon S3 key. Defaults to FullyReplicated

pub fn get_s3_data_distribution_type( &self ) -> &Option<ProcessingS3DataDistributionType>

Whether input data distributed in Amazon S3 is fully replicated or sharded by an Amazon S3 key. Defaults to FullyReplicated

pub fn features_attribute(self, input: impl Into<String>) -> Self

The attributes of the input data that are the input features.

pub fn set_features_attribute(self, input: Option<String>) -> Self

The attributes of the input data that are the input features.

pub fn get_features_attribute(&self) -> &Option<String>

The attributes of the input data that are the input features.

pub fn inference_attribute(self, input: impl Into<String>) -> Self

The attribute of the input data that represents the ground truth label.

pub fn set_inference_attribute(self, input: Option<String>) -> Self

The attribute of the input data that represents the ground truth label.

pub fn get_inference_attribute(&self) -> &Option<String>

The attribute of the input data that represents the ground truth label.

pub fn probability_attribute(self, input: impl Into<String>) -> Self

In a classification problem, the attribute that represents the class probability.

pub fn set_probability_attribute(self, input: Option<String>) -> Self

In a classification problem, the attribute that represents the class probability.

pub fn get_probability_attribute(&self) -> &Option<String>

In a classification problem, the attribute that represents the class probability.

pub fn probability_threshold_attribute(self, input: f64) -> Self

The threshold for the class probability to be evaluated as a positive result.

pub fn set_probability_threshold_attribute(self, input: Option<f64>) -> Self

The threshold for the class probability to be evaluated as a positive result.

pub fn get_probability_threshold_attribute(&self) -> &Option<f64>

The threshold for the class probability to be evaluated as a positive result.

pub fn start_time_offset(self, input: impl Into<String>) -> Self

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.

pub fn set_start_time_offset(self, input: Option<String>) -> Self

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.

pub fn get_start_time_offset(&self) -> &Option<String>

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.

pub fn end_time_offset(self, input: impl Into<String>) -> Self

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.

pub fn set_end_time_offset(self, input: Option<String>) -> Self

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.

pub fn get_end_time_offset(&self) -> &Option<String>

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.

pub fn exclude_features_attribute(self, input: impl Into<String>) -> Self

The attributes of the input data to exclude from the analysis.

pub fn set_exclude_features_attribute(self, input: Option<String>) -> Self

The attributes of the input data to exclude from the analysis.

pub fn get_exclude_features_attribute(&self) -> &Option<String>

The attributes of the input data to exclude from the analysis.

pub fn build(self) -> EndpointInput

Consumes the builder and constructs a EndpointInput.

Trait Implementations

impl Clone for EndpointInputBuilder

fn clone(&self) -> EndpointInputBuilder

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for EndpointInputBuilder

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for EndpointInputBuilder

fn default() -> EndpointInputBuilder

Returns the “default value” for a type.

impl PartialEq for EndpointInputBuilder

fn eq(&self, other: &EndpointInputBuilder) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for EndpointInputBuilder