Struct DatasetInputDataConfigBuilder

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

Expand description

A builder for DatasetInputDataConfig.

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impl DatasetInputDataConfigBuilder

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pub fn augmented_manifests( self, input: DatasetAugmentedManifestsListItem, ) -> Self

Appends an item to augmented_manifests.

To override the contents of this collection use set_augmented_manifests.

A list of augmented manifest files that provide training data for your custom model. An augmented manifest file is a labeled dataset that is produced by Amazon SageMaker Ground Truth.

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pub fn set_augmented_manifests( self, input: Option<Vec<DatasetAugmentedManifestsListItem>>, ) -> Self

A list of augmented manifest files that provide training data for your custom model. An augmented manifest file is a labeled dataset that is produced by Amazon SageMaker Ground Truth.

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pub fn get_augmented_manifests( &self, ) -> &Option<Vec<DatasetAugmentedManifestsListItem>>

A list of augmented manifest files that provide training data for your custom model. An augmented manifest file is a labeled dataset that is produced by Amazon SageMaker Ground Truth.

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pub fn data_format(self, input: DatasetDataFormat) -> Self

COMPREHEND_CSV: The data format is a two-column CSV file, where the first column contains labels and the second column contains documents.

AUGMENTED_MANIFEST: The data format

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pub fn set_data_format(self, input: Option<DatasetDataFormat>) -> Self

COMPREHEND_CSV: The data format is a two-column CSV file, where the first column contains labels and the second column contains documents.

AUGMENTED_MANIFEST: The data format

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pub fn get_data_format(&self) -> &Option<DatasetDataFormat>

COMPREHEND_CSV: The data format is a two-column CSV file, where the first column contains labels and the second column contains documents.

AUGMENTED_MANIFEST: The data format

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pub fn document_classifier_input_data_config( self, input: DatasetDocumentClassifierInputDataConfig, ) -> Self

The input properties for training a document classifier model.

For more information on how the input file is formatted, see Preparing training data in the Comprehend Developer Guide.

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pub fn set_document_classifier_input_data_config( self, input: Option<DatasetDocumentClassifierInputDataConfig>, ) -> Self

The input properties for training a document classifier model.

For more information on how the input file is formatted, see Preparing training data in the Comprehend Developer Guide.

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pub fn get_document_classifier_input_data_config( &self, ) -> &Option<DatasetDocumentClassifierInputDataConfig>

The input properties for training a document classifier model.

For more information on how the input file is formatted, see Preparing training data in the Comprehend Developer Guide.

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pub fn entity_recognizer_input_data_config( self, input: DatasetEntityRecognizerInputDataConfig, ) -> Self

The input properties for training an entity recognizer model.

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pub fn set_entity_recognizer_input_data_config( self, input: Option<DatasetEntityRecognizerInputDataConfig>, ) -> Self

The input properties for training an entity recognizer model.

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pub fn get_entity_recognizer_input_data_config( &self, ) -> &Option<DatasetEntityRecognizerInputDataConfig>

The input properties for training an entity recognizer model.

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pub fn build(self) -> DatasetInputDataConfig

Consumes the builder and constructs a DatasetInputDataConfig.

Trait Implementations§

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impl Clone for DatasetInputDataConfigBuilder

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fn clone(&self) -> DatasetInputDataConfigBuilder

Returns a duplicate of the value. Read more

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

Performs copy-assignment from source. Read more

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impl Debug for DatasetInputDataConfigBuilder

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

Formats the value using the given formatter. Read more

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impl Default for DatasetInputDataConfigBuilder

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fn default() -> DatasetInputDataConfigBuilder

Returns the “default value” for a type. Read more

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impl PartialEq for DatasetInputDataConfigBuilder

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

Tests for self and other values to be equal, and is used by ==.

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

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

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impl StructuralPartialEq for DatasetInputDataConfigBuilder

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impl UnwindSafe for DatasetInputDataConfigBuilder

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Struct DatasetInputDataConfigBuilderCopy item path

Implementations§

impl DatasetInputDataConfigBuilder

pub fn augmented_manifests( self, input: DatasetAugmentedManifestsListItem, ) -> Self

pub fn set_augmented_manifests( self, input: Option<Vec<DatasetAugmentedManifestsListItem>>, ) -> Self

pub fn get_augmented_manifests( &self, ) -> &Option<Vec<DatasetAugmentedManifestsListItem>>

pub fn data_format(self, input: DatasetDataFormat) -> Self

pub fn set_data_format(self, input: Option<DatasetDataFormat>) -> Self

pub fn get_data_format(&self) -> &Option<DatasetDataFormat>

pub fn document_classifier_input_data_config( self, input: DatasetDocumentClassifierInputDataConfig, ) -> Self

pub fn set_document_classifier_input_data_config( self, input: Option<DatasetDocumentClassifierInputDataConfig>, ) -> Self

pub fn get_document_classifier_input_data_config( &self, ) -> &Option<DatasetDocumentClassifierInputDataConfig>

pub fn entity_recognizer_input_data_config( self, input: DatasetEntityRecognizerInputDataConfig, ) -> Self

pub fn set_entity_recognizer_input_data_config( self, input: Option<DatasetEntityRecognizerInputDataConfig>, ) -> Self

pub fn get_entity_recognizer_input_data_config( &self, ) -> &Option<DatasetEntityRecognizerInputDataConfig>

pub fn build(self) -> DatasetInputDataConfig

Trait Implementations§

impl Clone for DatasetInputDataConfigBuilder

fn clone(&self) -> DatasetInputDataConfigBuilder

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

impl Debug for DatasetInputDataConfigBuilder

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

impl Default for DatasetInputDataConfigBuilder

fn default() -> DatasetInputDataConfigBuilder

impl PartialEq for DatasetInputDataConfigBuilder

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

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

impl StructuralPartialEq for DatasetInputDataConfigBuilder

Auto Trait Implementations§

impl Freeze for DatasetInputDataConfigBuilder

impl RefUnwindSafe for DatasetInputDataConfigBuilder

impl Send for DatasetInputDataConfigBuilder

impl Sync for DatasetInputDataConfigBuilder

impl Unpin for DatasetInputDataConfigBuilder

impl UnwindSafe for DatasetInputDataConfigBuilder

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Struct DatasetInputDataConfigBuilder

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