AWS SDK for C++
1.8.152
AWS SDK for C++
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#include <ClassifyDocumentResult.h>
Definition at line 29 of file ClassifyDocumentResult.h.
Aws::Comprehend::Model::ClassifyDocumentResult::ClassifyDocumentResult | ( | ) |
Aws::Comprehend::Model::ClassifyDocumentResult::ClassifyDocumentResult | ( | const Aws::AmazonWebServiceResult< Aws::Utils::Json::JsonValue > & | result | ) |
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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.
Definition at line 83 of file ClassifyDocumentResult.h.
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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.
Definition at line 91 of file ClassifyDocumentResult.h.
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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 mutually 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.
Definition at line 146 of file ClassifyDocumentResult.h.
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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 mutually 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.
Definition at line 155 of file ClassifyDocumentResult.h.
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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.
Definition at line 43 of file ClassifyDocumentResult.h.
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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 mutually 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.
Definition at line 101 of file ClassifyDocumentResult.h.
ClassifyDocumentResult& Aws::Comprehend::Model::ClassifyDocumentResult::operator= | ( | const Aws::AmazonWebServiceResult< Aws::Utils::Json::JsonValue > & | result | ) |
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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.
Definition at line 59 of file ClassifyDocumentResult.h.
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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.
Definition at line 51 of file ClassifyDocumentResult.h.
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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 mutually 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.
Definition at line 119 of file ClassifyDocumentResult.h.
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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 mutually 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.
Definition at line 110 of file ClassifyDocumentResult.h.
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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.
Definition at line 75 of file ClassifyDocumentResult.h.
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inline |
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.
Definition at line 67 of file ClassifyDocumentResult.h.
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inline |
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 mutually 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.
Definition at line 137 of file ClassifyDocumentResult.h.
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inline |
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 mutually 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.
Definition at line 128 of file ClassifyDocumentResult.h.