com.ibm.watson.developer_cloud.personality_insights.v3.model

Class Trait

java.lang.Object

com.ibm.watson.developer_cloud.service.model.GenericModel

com.ibm.watson.developer_cloud.personality_insights.v3.model.Trait

public class Trait
extends GenericModel

Personality trait information.

Constructor Summary

Constructors

Constructor and Description
Trait()

Method Summary

Modifier and Type	Method and Description
java.lang.String	getCategory() Gets the category of the characteristic.
java.util.List<Trait>	getChildren() Gets the more detailed results for the facets of each dimension as inferred from the input text.
java.lang.String	getName() Gets the user-visible name of the characteristic.
java.lang.Double	getPercentile() Gets the normalized percentile score for the characteristic.
java.lang.Double	getRawScore() Gets the raw score for the characteristic.
java.lang.String	getTraitId() Gets the unique identifier of the characteristic to which the results pertain.
void	setCategory(java.lang.String category) Sets the category of the characteristic.
void	setChildren(java.util.List<Trait> children) Sets the more detailed results for the facets of each dimension as inferred from the input text.
void	setName(java.lang.String name) Sets the user-visible name of the characteristic.
void	setPercentile(java.lang.Double percentile) Sets the normalized percentile score for the characteristic.
void	setRawScore(java.lang.Double rawScore) Sets the raw score for the characteristic.
void	setTraitId(java.lang.String traitId) Sets the unique identifier of the characteristic to which the results pertain.

Methods inherited from class com.ibm.watson.developer_cloud.service.model.GenericModel

equals, hashCode, toString

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

Trait

public Trait()

Method Detail

getRawScore

public java.lang.Double getRawScore()

Gets the raw score for the characteristic.

Returns:

the raw score

setRawScore

public void setRawScore(java.lang.Double rawScore)

Sets the raw score for the characteristic.

Parameters:

rawScore - the new raw score

getTraitId

public java.lang.String getTraitId()

Gets the unique identifier of the characteristic to which the results pertain.

Returns:

the trait id

setTraitId

public void setTraitId(java.lang.String traitId)

Sets the unique identifier of the characteristic to which the results pertain.

Parameters:

traitId - the new trait id

getName

public java.lang.String getName()

Gets the user-visible name of the characteristic.

Returns:

the name

setName

public void setName(java.lang.String name)

Sets the user-visible name of the characteristic.

Parameters:

name - the new name

getCategory

public java.lang.String getCategory()

Gets the category of the characteristic.

Returns:

the category

setCategory

public void setCategory(java.lang.String category)

Sets the category of the characteristic.

Parameters:

category - the new category

getPercentile

public java.lang.Double getPercentile()

Gets the normalized percentile score for the characteristic. The range is 0 to 1.

Returns:

the percentile

setPercentile

public void setPercentile(java.lang.Double percentile)

Sets the normalized percentile score for the characteristic. The range is 0 to 1.

Parameters:

percentile - the new percentile

getChildren

public java.util.List<Trait> getChildren()

Gets the more detailed results for the facets of each dimension as inferred from the input text.

Returns:

the children

setChildren

public void setChildren(java.util.List<Trait> children)

Sets the more detailed results for the facets of each dimension as inferred from the input text.

Parameters:

children - the new children