ClassifyDocumentResult (AWS SDK for Java

java.lang.Object
- com.amazonaws.AmazonWebServiceResult<ResponseMetadata>
- - com.amazonaws.services.comprehend.model.ClassifyDocumentResult

All Implemented Interfaces:: Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class ClassifyDocumentResult
extends AmazonWebServiceResult<ResponseMetadata>
implements Serializable, Cloneable

See Also:: AWS API Documentation, Serialized Form

Constructor Summary

Constructors
Constructor and Description

ClassifyDocumentResult()

Constructors
Constructor and Description
`ClassifyDocumentResult()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`ClassifyDocumentResult`	`clone()`
`boolean`	`equals(Object obj)`
`List<DocumentClass>`	`getClasses()` The classes used by the document being analyzed.
`List<DocumentLabel>`	`getLabels()` The labels used the document being analyzed.
`int`	`hashCode()`
`void`	`setClasses(Collection<DocumentClass> classes)` The classes used by the document being analyzed.
`void`	`setLabels(Collection<DocumentLabel> labels)` The labels used the document being analyzed.
`String`	`toString()` Returns a string representation of this object.
`ClassifyDocumentResult`	`withClasses(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(Collection<DocumentLabel> labels)` The labels used the document being analyzed.
`ClassifyDocumentResult`	`withLabels(DocumentLabel... labels)` The labels used the document being analyzed.

Methods inherited from class com.amazonaws.AmazonWebServiceResult
getSdkHttpMetadata, getSdkResponseMetadata, setSdkHttpMetadata, setSdkResponseMetadata

Methods inherited from class java.lang.Object
getClass, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - ClassifyDocumentResult
```
public ClassifyDocumentResult()
```
- Method Detail
  - getClasses
```
public 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.
    
    Returns:
    
    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.
  - setClasses
```
public void setClasses(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.
    
    Parameters:
    
    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.
  - withClasses
```
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.
    
    NOTE: This method appends the values to the existing list (if any). Use setClasses(java.util.Collection) or withClasses(java.util.Collection) if you want to override the existing values.
    
    Parameters:
    
    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:
    
    Returns a reference to this object so that method calls can be chained together.
  - withClasses
```
public ClassifyDocumentResult withClasses(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.
    
    Parameters:
    
    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:
    
    Returns a reference to this object so that method calls can be chained together.
  - getLabels
```
public 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.
    
    Returns:
    
    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.
  - setLabels
```
public void setLabels(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.
    
    Parameters:
    
    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.
  - withLabels
```
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.
    
    NOTE: This method appends the values to the existing list (if any). Use setLabels(java.util.Collection) or withLabels(java.util.Collection) if you want to override the existing values.
    
    Parameters:
    
    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:
    
    Returns a reference to this object so that method calls can be chained together.
  - withLabels
```
public ClassifyDocumentResult withLabels(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.
    
    Parameters:
    
    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:
    
    Returns a reference to this object so that method calls can be chained together.
  - toString
```
public String toString()
```
    Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.
    
    Overrides:
    
    toString in class Object
    
    Returns:
    
    A string representation of this object.
    
    See Also:
    
    Object.toString()
  - equals
```
public boolean equals(Object obj)
```
    Overrides:
    
    equals in class Object
  - hashCode
```
public int hashCode()
```
    Overrides:
    
    hashCode in class Object
  - clone
```
public ClassifyDocumentResult clone()
```
    Overrides:
    
    clone in class Object

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Class ClassifyDocumentResult

Constructor Summary

Method Summary

Methods inherited from class com.amazonaws.AmazonWebServiceResult

Methods inherited from class java.lang.Object

Constructor Detail

ClassifyDocumentResult

Method Detail

getClasses

setClasses

withClasses

withClasses

getLabels

setLabels

withLabels

withLabels

toString

equals

hashCode

clone