Uses of Class
com.google.api.services.language.v2.model.XPSTrainingObjectivePoint

Packages that use XPSTrainingObjectivePoint

Package	Description
com.google.api.services.language.v2.model

Uses of XPSTrainingObjectivePoint in com.google.api.services.language.v2.model

Methods in com.google.api.services.language.v2.model that return XPSTrainingObjectivePoint

Modifier and Type	Method and Description
XPSTrainingObjectivePoint	XPSTrainingObjectivePoint.clone()
XPSTrainingObjectivePoint	XPSTuningTrial.getTrainingObjectivePoint() The optimization objective evaluation of the eval split data.
XPSTrainingObjectivePoint	XPSTrainingObjectivePoint.set(String fieldName, Object value)
XPSTrainingObjectivePoint	XPSTrainingObjectivePoint.setCreateTime(String createTime) The time at which this point was recorded.
XPSTrainingObjectivePoint	XPSTrainingObjectivePoint.setValue(Float value) The objective value when this point was recorded.

Methods in com.google.api.services.language.v2.model that return types with arguments of type XPSTrainingObjectivePoint

Modifier and Type	Method and Description
List<XPSTrainingObjectivePoint>	XPSTablesTrainingOperationMetadata.getTrainingObjectivePoints() This field records the training objective value with respect to time, giving insight into how the model architecture search is performing as training time elapses.

Methods in com.google.api.services.language.v2.model with parameters of type XPSTrainingObjectivePoint

Modifier and Type	Method and Description
XPSTuningTrial	XPSTuningTrial.setTrainingObjectivePoint(XPSTrainingObjectivePoint trainingObjectivePoint) The optimization objective evaluation of the eval split data.

Method parameters in com.google.api.services.language.v2.model with type arguments of type XPSTrainingObjectivePoint

Modifier and Type	Method and Description
XPSTablesTrainingOperationMetadata	XPSTablesTrainingOperationMetadata.setTrainingObjectivePoints(List<XPSTrainingObjectivePoint> trainingObjectivePoints) This field records the training objective value with respect to time, giving insight into how the model architecture search is performing as training time elapses.