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

All Implemented Interfaces:

ObjectModel

public class Trait
extends GenericModel

Trait.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static interface	Trait.Category The category of the characteristic: * `personality` for Big Five personality characteristics * `needs` for Needs * `values` for Values.

Constructor Summary

Constructors

Constructor and Description
Trait()

Method Summary

Methods

Modifier and Type	Method and Description
java.lang.String	getCategory() Gets the category.
java.util.List<Trait>	getChildren() Gets the children.
java.lang.String	getName() Gets the name.
java.lang.Double	getPercentile() Gets the percentile.
java.lang.Double	getRawScore() Gets the rawScore.
java.lang.String	getTraitId() Gets the traitId.
java.lang.Boolean	isSignificant() Gets the significant.
void	setCategory(java.lang.String category) Sets the category.
void	setChildren(java.util.List<Trait> children) Sets the children.
void	setName(java.lang.String name) Sets the name.
void	setPercentile(java.lang.Double percentile) Sets the percentile.
void	setRawScore(java.lang.Double rawScore) Sets the rawScore.
void	setSignificant(java.lang.Boolean significant) Sets the significant.
void	setTraitId(java.lang.String traitId) Sets the traitId.

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

getTraitId

public java.lang.String getTraitId()

Gets the traitId. The unique identifier of the characteristic to which the results pertain. IDs have the form `big5_{characteristic}` for Big Five personality characteristics, `need_{characteristic}` for Needs, or `value_{characteristic}` for Values.

Returns:

the traitId

getName

public java.lang.String getName()

Gets the name. The user-visible name of the characteristic.

Returns:

the name

getCategory

public java.lang.String getCategory()

Gets the category. The category of the characteristic: * `personality` for Big Five personality characteristics * `needs` for Needs * `values` for Values

Returns:

the category

getPercentile

public java.lang.Double getPercentile()

Gets the percentile. The normalized percentile score for the characteristic. The range is 0 to 1. For example, if the percentage for Openness is 0.60, the author scored in the 60th percentile; the author is more open than 59 percent of the population and less open than 39 percent of the population.

Returns:

the percentile

getRawScore

public java.lang.Double getRawScore()

Gets the rawScore. The raw score for the characteristic. The range is 0 to 1. A higher score generally indicates a greater likelihood that the author has that characteristic, but raw scores must be considered in aggregate: The range of values in practice might be much smaller than 0 to 1, so an individual score must be considered in the context of the overall scores and their range. The raw score is computed based on the input and the service model; it is not normalized or compared with a sample population. The raw score enables comparison of the results against a different sampling population and with a custom normalization approach.

Returns:

the rawScore

isSignificant

public java.lang.Boolean isSignificant()

Gets the significant. **`2017-10-13`**: Indicates whether the characteristic is meaningful for the input language. The field is always `true` for all characteristics of English, Spanish, and Japanese input. The field is `false` for the subset of characteristics of Arabic and Korean input for which the service's models are unable to generate meaningful results. **`2016-10-19`**: Not returned.

Returns:

the significant

getChildren

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

Gets the children. For `personality` (Big Five) dimensions, more detailed results for the facets of each dimension as inferred from the input text.

Returns:

the children

setTraitId

public void setTraitId(java.lang.String traitId)

Sets the traitId.

Parameters:

traitId - the new traitId

setName

public void setName(java.lang.String name)

Sets the name.

Parameters:

name - the new name

setCategory

public void setCategory(java.lang.String category)

Sets the category.

Parameters:

category - the new category

setPercentile

public void setPercentile(java.lang.Double percentile)

Sets the percentile.

Parameters:

percentile - the new percentile

setRawScore

public void setRawScore(java.lang.Double rawScore)

Sets the rawScore.

Parameters:

rawScore - the new rawScore

setSignificant

public void setSignificant(java.lang.Boolean significant)

Sets the significant.

Parameters:

significant - the new significant

setChildren

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

Sets the children.

Parameters:

children - the new children