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(java.lang.String fieldName,
java.lang.Object value) |
TrainingOptions |
TrainingOptions.setDataSplitColumn(java.lang.String dataSplitColumn)
The column to split data with.
|
TrainingOptions |
TrainingOptions.setDataSplitEvalFraction(java.lang.Double dataSplitEvalFraction)
The fraction of evaluation data over the whole input data.
|
TrainingOptions |
TrainingOptions.setDataSplitMethod(java.lang.String dataSplitMethod)
The data split type for training and evaluation, e.g.
|
TrainingOptions |
TrainingOptions.setDistanceType(java.lang.String distanceType)
[Beta] Distance type for clustering models.
|
TrainingOptions |
TrainingOptions.setEarlyStop(java.lang.Boolean earlyStop)
Whether to stop early when the loss doesn't improve significantly any more (compared to
min_relative_progress).
|
TrainingOptions |
TrainingOptions.setInitialLearnRate(java.lang.Double initialLearnRate)
Specifies the initial learning rate for line search to start at.
|
TrainingOptions |
TrainingOptions.setInputLabelColumns(java.util.List<java.lang.String> inputLabelColumns)
Name of input label columns in training data.
|
TrainingOptions |
TrainingOptions.setL1Regularization(java.lang.Double l1Regularization)
L1 regularization coefficient.
|
TrainingOptions |
TrainingOptions.setL2Regularization(java.lang.Double l2Regularization)
L2 regularization coefficient.
|
TrainingOptions |
TrainingOptions.setLabelClassWeights(java.util.Map<java.lang.String,java.lang.Double> labelClassWeights)
Weights associated with each label class, for rebalancing the training data.
|
TrainingOptions |
TrainingOptions.setLearnRate(java.lang.Double learnRate)
Learning rate in training.
|
TrainingOptions |
TrainingOptions.setLearnRateStrategy(java.lang.String learnRateStrategy)
The strategy to determine learning rate.
|
TrainingOptions |
TrainingOptions.setLossType(java.lang.String lossType)
Type of loss function used during training run.
|
TrainingOptions |
TrainingOptions.setMaxIterations(java.lang.Long maxIterations)
The maximum number of iterations in training.
|
TrainingOptions |
TrainingOptions.setMinRelativeProgress(java.lang.Double minRelativeProgress)
When early_stop is true, stops training when accuracy improvement is less than
'min_relative_progress'.
|
TrainingOptions |
TrainingOptions.setNumClusters(java.lang.Long numClusters)
[Beta] Number of clusters for clustering models.
|
TrainingOptions |
TrainingOptions.setWarmStart(java.lang.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.
|