public class ClassifyDocumentResult
extends java.lang.Object
implements java.io.Serializable
| Constructor and Description | 
|---|
ClassifyDocumentResult()  | 
| Modifier and Type | Method and Description | 
|---|---|
boolean | 
equals(java.lang.Object obj)  | 
java.util.List<DocumentClass> | 
getClasses()
 The classes used by the document being analyzed. 
 | 
java.util.List<DocumentLabel> | 
getLabels()
 The labels used the document being analyzed. 
 | 
int | 
hashCode()  | 
void | 
setClasses(java.util.Collection<DocumentClass> classes)
 The classes used by the document being analyzed. 
 | 
void | 
setLabels(java.util.Collection<DocumentLabel> labels)
 The labels used the document being analyzed. 
 | 
java.lang.String | 
toString()
Returns a string representation of this object; useful for testing and
 debugging. 
 | 
ClassifyDocumentResult | 
withClasses(java.util.Collection<DocumentClass> classes)
 The classes used by the document being analyzed. 
 | 
ClassifyDocumentResult | 
withClasses(DocumentClass... classes)
 The classes used by the document being analyzed. 
 | 
ClassifyDocumentResult | 
withLabels(java.util.Collection<DocumentLabel> labels)
 The labels used the document being analyzed. 
 | 
ClassifyDocumentResult | 
withLabels(DocumentLabel... labels)
 The labels used the document being analyzed. 
 | 
public java.util.List<DocumentClass> getClasses()
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.
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.
public void setClasses(java.util.Collection<DocumentClass> classes)
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.
classes - 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.
public ClassifyDocumentResult withClasses(DocumentClass... classes)
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.
Returns a reference to this object so that method calls can be chained together.
classes - 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.
public ClassifyDocumentResult withClasses(java.util.Collection<DocumentClass> classes)
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.
Returns a reference to this object so that method calls can be chained together.
classes - 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.
public java.util.List<DocumentLabel> getLabels()
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.
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.
public void setLabels(java.util.Collection<DocumentLabel> labels)
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.
labels - 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.
public ClassifyDocumentResult withLabels(DocumentLabel... labels)
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.
Returns a reference to this object so that method calls can be chained together.
labels - 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.
public ClassifyDocumentResult withLabels(java.util.Collection<DocumentLabel> labels)
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.
Returns a reference to this object so that method calls can be chained together.
labels - 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.
public java.lang.String toString()
toString in class java.lang.ObjectObject.toString()public int hashCode()
hashCode in class java.lang.Objectpublic boolean equals(java.lang.Object obj)
equals in class java.lang.ObjectCopyright © 2018 Amazon Web Services, Inc. All Rights Reserved.