com.tencentcloudapi.vod.v20180717.models

Class MediaAiAnalysisClassificationItem

java.lang.Object

com.tencentcloudapi.common.AbstractModel

com.tencentcloudapi.vod.v20180717.models.MediaAiAnalysisClassificationItem

public class MediaAiAnalysisClassificationItem
extends AbstractModel

Constructor Summary

Constructors

Constructor and Description
MediaAiAnalysisClassificationItem()
MediaAiAnalysisClassificationItem(MediaAiAnalysisClassificationItem source) NOTE: Any ambiguous key set via .set("AnyKey", "value") will be a shallow copy, and any explicit key, i.e Foo, set via .setFoo("value") will be a deep copy.

Method Summary

Modifier and Type	Method and Description
String	getClassification() Get 智能分类的类别名称。
Float	getConfidence() Get 智能分类的可信度，取值范围是 0 到 100。
void	setClassification(String Classification) Set 智能分类的类别名称。
void	setConfidence(Float Confidence) Set 智能分类的可信度，取值范围是 0 到 100。
void	toMap(HashMap<String,String> map, String prefix) Internal implementation, normal users should not use it.

Methods inherited from class com.tencentcloudapi.common.AbstractModel

any, fromJsonString, getBinaryParams, getMultipartRequestParams, set, setParamArrayObj, setParamArraySimple, setParamObj, setParamSimple, toJsonString

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

MediaAiAnalysisClassificationItem

public MediaAiAnalysisClassificationItem()

MediaAiAnalysisClassificationItem

public MediaAiAnalysisClassificationItem(MediaAiAnalysisClassificationItem source)

NOTE: Any ambiguous key set via .set("AnyKey", "value") will be a shallow copy, and any explicit key, i.e Foo, set via .setFoo("value") will be a deep copy.

Method Detail

getClassification

public String getClassification()

Get 智能分类的类别名称。

Returns:

Classification 智能分类的类别名称。

setClassification

public void setClassification(String Classification)

Set 智能分类的类别名称。

Parameters:

Classification - 智能分类的类别名称。

getConfidence

public Float getConfidence()

Get 智能分类的可信度，取值范围是 0 到 100。

Returns:

Confidence 智能分类的可信度，取值范围是 0 到 100。

setConfidence

public void setConfidence(Float Confidence)

Set 智能分类的可信度，取值范围是 0 到 100。

Parameters:

Confidence - 智能分类的可信度，取值范围是 0 到 100。

toMap

public void toMap(HashMap<String,String> map,
                  String prefix)

Internal implementation, normal users should not use it.

Specified by:

toMap in class AbstractModel