| Package | Description |
|---|---|
| com.google.api.services.ml.v1.model |
| Modifier and Type | Method and Description |
|---|---|
GoogleCloudMlV1TrainingOutput |
GoogleCloudMlV1TrainingOutput.clone() |
GoogleCloudMlV1TrainingOutput |
GoogleCloudMlV1Job.getTrainingOutput()
The current training job result.
|
GoogleCloudMlV1TrainingOutput |
GoogleCloudMlV1TrainingOutput.set(String fieldName,
Object value) |
GoogleCloudMlV1TrainingOutput |
GoogleCloudMlV1TrainingOutput.setBuiltInAlgorithmOutput(GoogleCloudMlV1BuiltInAlgorithmOutput builtInAlgorithmOutput)
Details related to built-in algorithms jobs.
|
GoogleCloudMlV1TrainingOutput |
GoogleCloudMlV1TrainingOutput.setCompletedTrialCount(Long completedTrialCount)
The number of hyperparameter tuning trials that completed successfully.
|
GoogleCloudMlV1TrainingOutput |
GoogleCloudMlV1TrainingOutput.setConsumedMLUnits(Double consumedMLUnits)
The amount of ML units consumed by the job.
|
GoogleCloudMlV1TrainingOutput |
GoogleCloudMlV1TrainingOutput.setHyperparameterMetricTag(String hyperparameterMetricTag)
The TensorFlow summary tag name used for optimizing hyperparameter tuning trials.
|
GoogleCloudMlV1TrainingOutput |
GoogleCloudMlV1TrainingOutput.setIsBuiltInAlgorithmJob(Boolean isBuiltInAlgorithmJob)
Whether this job is a built-in Algorithm job.
|
GoogleCloudMlV1TrainingOutput |
GoogleCloudMlV1TrainingOutput.setIsHyperparameterTuningJob(Boolean isHyperparameterTuningJob)
Whether this job is a hyperparameter tuning job.
|
GoogleCloudMlV1TrainingOutput |
GoogleCloudMlV1TrainingOutput.setTrials(List<GoogleCloudMlV1HyperparameterOutput> trials)
Results for individual Hyperparameter trials.
|
| Modifier and Type | Method and Description |
|---|---|
GoogleCloudMlV1Job |
GoogleCloudMlV1Job.setTrainingOutput(GoogleCloudMlV1TrainingOutput trainingOutput)
The current training job result.
|
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