[][src]Struct rusoto_comprehend::ClassifyDocumentResponse

pub struct ClassifyDocumentResponse {
    pub classes: Option<Vec<DocumentClass>>,
    pub labels: Option<Vec<DocumentLabel>>,
}

Fields

classes: Option<Vec<DocumentClass>>

The classes used by the document being analyzed. These are used for multi-class trained models. Individual classes are mutually exclusive and each document is expected to have only a single class assigned to it. For example, an animal can be a dog or a cat, but not both at the same time.

labels: Option<Vec<DocumentLabel>>

The labels used the document being analyzed. These are used for multi-label trained models. Individual labels represent different categories that are related in some manner and are not multually exclusive. For example, a movie can be just an action movie, or it can be an action movie, a science fiction movie, and a comedy, all at the same time.

Trait Implementations

impl Clone for ClassifyDocumentResponse[src]

impl Debug for ClassifyDocumentResponse[src]

impl Default for ClassifyDocumentResponse[src]

impl<'de> Deserialize<'de> for ClassifyDocumentResponse[src]

impl PartialEq<ClassifyDocumentResponse> for ClassifyDocumentResponse[src]

impl StructuralPartialEq for ClassifyDocumentResponse[src]

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