Package | Description |
---|---|
com.google.api.services.bigquery.model |
Modifier and Type | Method and Description |
---|---|
TrainingOptions |
TrainingOptions.clone() |
TrainingOptions |
TrainingRun.getTrainingOptions()
Options that were used for this training run, includes user specified and default options that
were used.
|
TrainingOptions |
TrainingOptions.set(String fieldName,
Object value) |
TrainingOptions |
TrainingOptions.setDataSplitColumn(String dataSplitColumn)
The column to split data with.
|
TrainingOptions |
TrainingOptions.setDataSplitEvalFraction(Double dataSplitEvalFraction)
The fraction of evaluation data over the whole input data.
|
TrainingOptions |
TrainingOptions.setDataSplitMethod(String dataSplitMethod)
The data split type for training and evaluation, e.g.
|
TrainingOptions |
TrainingOptions.setDistanceType(String distanceType)
[Beta] Distance type for clustering models.
|
TrainingOptions |
TrainingOptions.setEarlyStop(Boolean earlyStop)
Whether to stop early when the loss doesn't improve significantly any more (compared to
min_relative_progress).
|
TrainingOptions |
TrainingOptions.setInitialLearnRate(Double initialLearnRate)
Specifies the initial learning rate for the line search learn rate strategy.
|
TrainingOptions |
TrainingOptions.setInputLabelColumns(List<String> inputLabelColumns)
Name of input label columns in training data.
|
TrainingOptions |
TrainingOptions.setL1Regularization(Double l1Regularization)
L1 regularization coefficient.
|
TrainingOptions |
TrainingOptions.setL2Regularization(Double l2Regularization)
L2 regularization coefficient.
|
TrainingOptions |
TrainingOptions.setLabelClassWeights(Map<String,Double> labelClassWeights)
Weights associated with each label class, for rebalancing the training data.
|
TrainingOptions |
TrainingOptions.setLearnRate(Double learnRate)
Learning rate in training.
|
TrainingOptions |
TrainingOptions.setLearnRateStrategy(String learnRateStrategy)
The strategy to determine learn rate for the current iteration.
|
TrainingOptions |
TrainingOptions.setLossType(String lossType)
Type of loss function used during training run.
|
TrainingOptions |
TrainingOptions.setMaxIterations(Long maxIterations)
The maximum number of iterations in training.
|
TrainingOptions |
TrainingOptions.setMinRelativeProgress(Double minRelativeProgress)
When early_stop is true, stops training when accuracy improvement is less than
'min_relative_progress'.
|
TrainingOptions |
TrainingOptions.setModelUri(String modelUri)
[Beta] Google Cloud Storage URI from which the model was imported.
|
TrainingOptions |
TrainingOptions.setNumClusters(Long numClusters)
[Beta] Number of clusters for clustering models.
|
TrainingOptions |
TrainingOptions.setOptimizationStrategy(String optimizationStrategy)
Optimization strategy for training linear regression models.
|
TrainingOptions |
TrainingOptions.setWarmStart(Boolean warmStart)
Whether to train a model from the last checkpoint.
|
Modifier and Type | Method and Description |
---|---|
TrainingRun |
TrainingRun.setTrainingOptions(TrainingOptions trainingOptions)
Options that were used for this training run, includes user specified and default options that
were used.
|
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