#[non_exhaustive]
pub struct EntityRecognizerMetadata { pub number_of_trained_documents: Option<i32>, pub number_of_test_documents: Option<i32>, pub evaluation_metrics: Option<EntityRecognizerEvaluationMetrics>, pub entity_types: Option<Vec<EntityRecognizerMetadataEntityTypesListItem>>, }
Expand description

Detailed information about an entity recognizer.

Fields (Non-exhaustive)

This struct is marked as non-exhaustive
Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.
number_of_trained_documents: Option<i32>

The number of documents in the input data that were used to train the entity recognizer. Typically this is 80 to 90 percent of the input documents.

number_of_test_documents: Option<i32>

The number of documents in the input data that were used to test the entity recognizer. Typically this is 10 to 20 percent of the input documents.

evaluation_metrics: Option<EntityRecognizerEvaluationMetrics>

Detailed information about the accuracy of an entity recognizer.

entity_types: Option<Vec<EntityRecognizerMetadataEntityTypesListItem>>

Entity types from the metadata of an entity recognizer.

Implementations

The number of documents in the input data that were used to train the entity recognizer. Typically this is 80 to 90 percent of the input documents.

The number of documents in the input data that were used to test the entity recognizer. Typically this is 10 to 20 percent of the input documents.

Detailed information about the accuracy of an entity recognizer.

Entity types from the metadata of an entity recognizer.

Creates a new builder-style object to manufacture EntityRecognizerMetadata

Trait Implementations

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