Package | Description |
---|---|
com.google.api.services.bigquery.model |
Modifier and Type | Method and Description |
---|---|
EvaluationMetrics |
EvaluationMetrics.clone() |
EvaluationMetrics |
HparamTuningTrial.getEvaluationMetrics()
Evaluation metrics of this trial calculated on the test data.
|
EvaluationMetrics |
TrainingRun.getEvaluationMetrics()
Output only.
|
EvaluationMetrics |
HparamTuningTrial.getHparamTuningEvaluationMetrics()
Hyperparameter tuning evaluation metrics of this trial calculated on the eval data.
|
EvaluationMetrics |
EvaluationMetrics.set(String fieldName,
Object value) |
EvaluationMetrics |
EvaluationMetrics.setArimaForecastingMetrics(ArimaForecastingMetrics arimaForecastingMetrics)
Populated for ARIMA models.
|
EvaluationMetrics |
EvaluationMetrics.setBinaryClassificationMetrics(BinaryClassificationMetrics binaryClassificationMetrics)
Populated for binary classification/classifier models.
|
EvaluationMetrics |
EvaluationMetrics.setClusteringMetrics(ClusteringMetrics clusteringMetrics)
Populated for clustering models.
|
EvaluationMetrics |
EvaluationMetrics.setDimensionalityReductionMetrics(DimensionalityReductionMetrics dimensionalityReductionMetrics)
Evaluation metrics when the model is a dimensionality reduction model, which currently includes
PCA.
|
EvaluationMetrics |
EvaluationMetrics.setMultiClassClassificationMetrics(MultiClassClassificationMetrics multiClassClassificationMetrics)
Populated for multi-class classification/classifier models.
|
EvaluationMetrics |
EvaluationMetrics.setRankingMetrics(RankingMetrics rankingMetrics)
Populated for implicit feedback type matrix factorization models.
|
EvaluationMetrics |
EvaluationMetrics.setRegressionMetrics(RegressionMetrics regressionMetrics)
Populated for regression models and explicit feedback type matrix factorization models.
|
Modifier and Type | Method and Description |
---|---|
HparamTuningTrial |
HparamTuningTrial.setEvaluationMetrics(EvaluationMetrics evaluationMetrics)
Evaluation metrics of this trial calculated on the test data.
|
TrainingRun |
TrainingRun.setEvaluationMetrics(EvaluationMetrics evaluationMetrics)
Output only.
|
HparamTuningTrial |
HparamTuningTrial.setHparamTuningEvaluationMetrics(EvaluationMetrics hparamTuningEvaluationMetrics)
Hyperparameter tuning evaluation metrics of this trial calculated on the eval data.
|
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