Package | Description |
---|---|
com.google.api.services.bigquery.model |
Modifier and Type | Method and Description |
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HparamTuningTrial |
HparamTuningTrial.clone() |
HparamTuningTrial |
HparamTuningTrial.set(String fieldName,
Object value) |
HparamTuningTrial |
HparamTuningTrial.setEndTimeMs(Long endTimeMs)
Ending time of the trial.
|
HparamTuningTrial |
HparamTuningTrial.setErrorMessage(String errorMessage)
Error message for FAILED and INFEASIBLE trial.
|
HparamTuningTrial |
HparamTuningTrial.setEvalLoss(Double evalLoss)
Loss computed on the eval data at the end of trial.
|
HparamTuningTrial |
HparamTuningTrial.setEvaluationMetrics(EvaluationMetrics evaluationMetrics)
Evaluation metrics of this trial calculated on the test data.
|
HparamTuningTrial |
HparamTuningTrial.setHparams(TrainingOptions hparams)
The hyperprameters selected for this trial.
|
HparamTuningTrial |
HparamTuningTrial.setHparamTuningEvaluationMetrics(EvaluationMetrics hparamTuningEvaluationMetrics)
Hyperparameter tuning evaluation metrics of this trial calculated on the eval data.
|
HparamTuningTrial |
HparamTuningTrial.setStartTimeMs(Long startTimeMs)
Starting time of the trial.
|
HparamTuningTrial |
HparamTuningTrial.setStatus(String status)
The status of the trial.
|
HparamTuningTrial |
HparamTuningTrial.setTrainingLoss(Double trainingLoss)
Loss computed on the training data at the end of trial.
|
HparamTuningTrial |
HparamTuningTrial.setTrialId(Long trialId)
1-based index of the trial.
|
Modifier and Type | Method and Description |
---|---|
List<HparamTuningTrial> |
Model.getHparamTrials()
Output only.
|
Modifier and Type | Method and Description |
---|---|
Model |
Model.setHparamTrials(List<HparamTuningTrial> hparamTrials)
Output only.
|
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