#[non_exhaustive]pub struct DataProcessingBuilder { /* private fields */ }Expand description
A builder for DataProcessing.
Implementations§
Source§impl DataProcessingBuilder
impl DataProcessingBuilder
Sourcepub fn input_filter(self, input: impl Into<String>) -> Self
pub fn input_filter(self, input: impl Into<String>) -> Self
A JSONPath expression used to select a portion of the input data to pass to the algorithm. Use the InputFilter parameter to exclude fields, such as an ID column, from the input. If you want SageMaker to pass the entire input dataset to the algorithm, accept the default value $.
Examples: "$", "$\[1:\]", "$.features"
Sourcepub fn set_input_filter(self, input: Option<String>) -> Self
pub fn set_input_filter(self, input: Option<String>) -> Self
A JSONPath expression used to select a portion of the input data to pass to the algorithm. Use the InputFilter parameter to exclude fields, such as an ID column, from the input. If you want SageMaker to pass the entire input dataset to the algorithm, accept the default value $.
Examples: "$", "$\[1:\]", "$.features"
Sourcepub fn get_input_filter(&self) -> &Option<String>
pub fn get_input_filter(&self) -> &Option<String>
A JSONPath expression used to select a portion of the input data to pass to the algorithm. Use the InputFilter parameter to exclude fields, such as an ID column, from the input. If you want SageMaker to pass the entire input dataset to the algorithm, accept the default value $.
Examples: "$", "$\[1:\]", "$.features"
Sourcepub fn output_filter(self, input: impl Into<String>) -> Self
pub fn output_filter(self, input: impl Into<String>) -> Self
A JSONPath expression used to select a portion of the joined dataset to save in the output file for a batch transform job. If you want SageMaker to store the entire input dataset in the output file, leave the default value, $. If you specify indexes that aren't within the dimension size of the joined dataset, you get an error.
Examples: "$", "$\[0,5:\]", "$\['id','SageMakerOutput'\]"
Sourcepub fn set_output_filter(self, input: Option<String>) -> Self
pub fn set_output_filter(self, input: Option<String>) -> Self
A JSONPath expression used to select a portion of the joined dataset to save in the output file for a batch transform job. If you want SageMaker to store the entire input dataset in the output file, leave the default value, $. If you specify indexes that aren't within the dimension size of the joined dataset, you get an error.
Examples: "$", "$\[0,5:\]", "$\['id','SageMakerOutput'\]"
Sourcepub fn get_output_filter(&self) -> &Option<String>
pub fn get_output_filter(&self) -> &Option<String>
A JSONPath expression used to select a portion of the joined dataset to save in the output file for a batch transform job. If you want SageMaker to store the entire input dataset in the output file, leave the default value, $. If you specify indexes that aren't within the dimension size of the joined dataset, you get an error.
Examples: "$", "$\[0,5:\]", "$\['id','SageMakerOutput'\]"
Sourcepub fn join_source(self, input: JoinSource) -> Self
pub fn join_source(self, input: JoinSource) -> Self
Specifies the source of the data to join with the transformed data. The valid values are None and Input. The default value is None, which specifies not to join the input with the transformed data. If you want the batch transform job to join the original input data with the transformed data, set JoinSource to Input. You can specify OutputFilter as an additional filter to select a portion of the joined dataset and store it in the output file.
For JSON or JSONLines objects, such as a JSON array, SageMaker adds the transformed data to the input JSON object in an attribute called SageMakerOutput. The joined result for JSON must be a key-value pair object. If the input is not a key-value pair object, SageMaker creates a new JSON file. In the new JSON file, and the input data is stored under the SageMakerInput key and the results are stored in SageMakerOutput.
For CSV data, SageMaker takes each row as a JSON array and joins the transformed data with the input by appending each transformed row to the end of the input. The joined data has the original input data followed by the transformed data and the output is a CSV file.
For information on how joining in applied, see Workflow for Associating Inferences with Input Records.
Sourcepub fn set_join_source(self, input: Option<JoinSource>) -> Self
pub fn set_join_source(self, input: Option<JoinSource>) -> Self
Specifies the source of the data to join with the transformed data. The valid values are None and Input. The default value is None, which specifies not to join the input with the transformed data. If you want the batch transform job to join the original input data with the transformed data, set JoinSource to Input. You can specify OutputFilter as an additional filter to select a portion of the joined dataset and store it in the output file.
For JSON or JSONLines objects, such as a JSON array, SageMaker adds the transformed data to the input JSON object in an attribute called SageMakerOutput. The joined result for JSON must be a key-value pair object. If the input is not a key-value pair object, SageMaker creates a new JSON file. In the new JSON file, and the input data is stored under the SageMakerInput key and the results are stored in SageMakerOutput.
For CSV data, SageMaker takes each row as a JSON array and joins the transformed data with the input by appending each transformed row to the end of the input. The joined data has the original input data followed by the transformed data and the output is a CSV file.
For information on how joining in applied, see Workflow for Associating Inferences with Input Records.
Sourcepub fn get_join_source(&self) -> &Option<JoinSource>
pub fn get_join_source(&self) -> &Option<JoinSource>
Specifies the source of the data to join with the transformed data. The valid values are None and Input. The default value is None, which specifies not to join the input with the transformed data. If you want the batch transform job to join the original input data with the transformed data, set JoinSource to Input. You can specify OutputFilter as an additional filter to select a portion of the joined dataset and store it in the output file.
For JSON or JSONLines objects, such as a JSON array, SageMaker adds the transformed data to the input JSON object in an attribute called SageMakerOutput. The joined result for JSON must be a key-value pair object. If the input is not a key-value pair object, SageMaker creates a new JSON file. In the new JSON file, and the input data is stored under the SageMakerInput key and the results are stored in SageMakerOutput.
For CSV data, SageMaker takes each row as a JSON array and joins the transformed data with the input by appending each transformed row to the end of the input. The joined data has the original input data followed by the transformed data and the output is a CSV file.
For information on how joining in applied, see Workflow for Associating Inferences with Input Records.
Sourcepub fn build(self) -> DataProcessing
pub fn build(self) -> DataProcessing
Consumes the builder and constructs a DataProcessing.
Trait Implementations§
Source§impl Clone for DataProcessingBuilder
impl Clone for DataProcessingBuilder
Source§fn clone(&self) -> DataProcessingBuilder
fn clone(&self) -> DataProcessingBuilder
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source. Read moreSource§impl Debug for DataProcessingBuilder
impl Debug for DataProcessingBuilder
Source§impl Default for DataProcessingBuilder
impl Default for DataProcessingBuilder
Source§fn default() -> DataProcessingBuilder
fn default() -> DataProcessingBuilder
Source§impl PartialEq for DataProcessingBuilder
impl PartialEq for DataProcessingBuilder
impl StructuralPartialEq for DataProcessingBuilder
Auto Trait Implementations§
impl Freeze for DataProcessingBuilder
impl RefUnwindSafe for DataProcessingBuilder
impl Send for DataProcessingBuilder
impl Sync for DataProcessingBuilder
impl Unpin for DataProcessingBuilder
impl UnwindSafe for DataProcessingBuilder
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