* A parameter used to configure the SageMaker Clarify explainer to treat text features as text so that explanations are * provided for individual units of text. Required only for natural language processing (NLP) explainability. *
* * @see AWS API * Documentation */ @Generated("com.amazonaws:aws-java-sdk-code-generator") public class ClarifyTextConfig implements Serializable, Cloneable, StructuredPojo { /** ** Specifies the language of the text features in ISO 639-1 or ISO 639-3 code of a supported language. *
*
* For a mix of multiple languages, use code 'xx'.
*
* The unit of granularity for the analysis of text features. For example, if the unit is 'token', then
* each token (like a word in English) of the text is treated as a feature. SHAP values are computed for each
* unit/feature.
*
* Specifies the language of the text features in ISO 639-1 or ISO 639-3 code of a supported language. *
*
* For a mix of multiple languages, use code 'xx'.
*
* For a mix of multiple languages, use code 'xx'.
*
* Specifies the language of the text features in ISO 639-1 or ISO 639-3 code of a supported language. *
*
* For a mix of multiple languages, use code 'xx'.
*
* For a mix of multiple languages, use code 'xx'.
*
* Specifies the language of the text features in ISO 639-1 or ISO 639-3 code of a supported language. *
*
* For a mix of multiple languages, use code 'xx'.
*
* For a mix of multiple languages, use code 'xx'.
*
* Specifies the language of the text features in ISO 639-1 or ISO 639-3 code of a supported language. *
*
* For a mix of multiple languages, use code 'xx'.
*
* For a mix of multiple languages, use code 'xx'.
*
* The unit of granularity for the analysis of text features. For example, if the unit is 'token', then
* each token (like a word in English) of the text is treated as a feature. SHAP values are computed for each
* unit/feature.
*
'token', then each token (like a word in English) of the text is treated as a feature. SHAP
* values are computed for each unit/feature.
* @see ClarifyTextGranularity
*/
public void setGranularity(String granularity) {
this.granularity = granularity;
}
/**
*
* The unit of granularity for the analysis of text features. For example, if the unit is 'token', then
* each token (like a word in English) of the text is treated as a feature. SHAP values are computed for each
* unit/feature.
*
'token', then each token (like a word in English) of the text is treated as a feature. SHAP
* values are computed for each unit/feature.
* @see ClarifyTextGranularity
*/
public String getGranularity() {
return this.granularity;
}
/**
*
* The unit of granularity for the analysis of text features. For example, if the unit is 'token', then
* each token (like a word in English) of the text is treated as a feature. SHAP values are computed for each
* unit/feature.
*
'token', then each token (like a word in English) of the text is treated as a feature. SHAP
* values are computed for each unit/feature.
* @return Returns a reference to this object so that method calls can be chained together.
* @see ClarifyTextGranularity
*/
public ClarifyTextConfig withGranularity(String granularity) {
setGranularity(granularity);
return this;
}
/**
*
* The unit of granularity for the analysis of text features. For example, if the unit is 'token', then
* each token (like a word in English) of the text is treated as a feature. SHAP values are computed for each
* unit/feature.
*
'token', then each token (like a word in English) of the text is treated as a feature. SHAP
* values are computed for each unit/feature.
* @return Returns a reference to this object so that method calls can be chained together.
* @see ClarifyTextGranularity
*/
public ClarifyTextConfig withGranularity(ClarifyTextGranularity granularity) {
this.granularity = granularity.toString();
return this;
}
/**
* 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.
*
* @return A string representation of this object.
*
* @see java.lang.Object#toString()
*/
@Override
public String toString() {
StringBuilder sb = new StringBuilder();
sb.append("{");
if (getLanguage() != null)
sb.append("Language: ").append(getLanguage()).append(",");
if (getGranularity() != null)
sb.append("Granularity: ").append(getGranularity());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof ClarifyTextConfig == false)
return false;
ClarifyTextConfig other = (ClarifyTextConfig) obj;
if (other.getLanguage() == null ^ this.getLanguage() == null)
return false;
if (other.getLanguage() != null && other.getLanguage().equals(this.getLanguage()) == false)
return false;
if (other.getGranularity() == null ^ this.getGranularity() == null)
return false;
if (other.getGranularity() != null && other.getGranularity().equals(this.getGranularity()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getLanguage() == null) ? 0 : getLanguage().hashCode());
hashCode = prime * hashCode + ((getGranularity() == null) ? 0 : getGranularity().hashCode());
return hashCode;
}
@Override
public ClarifyTextConfig clone() {
try {
return (ClarifyTextConfig) super.clone();
} catch (CloneNotSupportedException e) {
throw new IllegalStateException("Got a CloneNotSupportedException from Object.clone() " + "even though we're Cloneable!", e);
}
}
@com.amazonaws.annotation.SdkInternalApi
@Override
public void marshall(ProtocolMarshaller protocolMarshaller) {
com.amazonaws.services.sagemaker.model.transform.ClarifyTextConfigMarshaller.getInstance().marshall(this, protocolMarshaller);
}
}