Package | Description |
---|---|
com.google.api.services.bigquery.model |
Modifier and Type | Method and Description |
---|---|
HparamSearchSpaces |
HparamSearchSpaces.clone() |
HparamSearchSpaces |
Model.getHparamSearchSpaces()
Output only.
|
HparamSearchSpaces |
HparamSearchSpaces.set(String fieldName,
Object value) |
HparamSearchSpaces |
HparamSearchSpaces.setActivationFn(StringHparamSearchSpace activationFn)
Activation functions of neural network models.
|
HparamSearchSpaces |
HparamSearchSpaces.setBatchSize(IntHparamSearchSpace batchSize)
Mini batch sample size.
|
HparamSearchSpaces |
HparamSearchSpaces.setBoosterType(StringHparamSearchSpace boosterType)
Booster type for boosted tree models.
|
HparamSearchSpaces |
HparamSearchSpaces.setColsampleBylevel(DoubleHparamSearchSpace colsampleBylevel)
Subsample ratio of columns for each level for boosted tree models.
|
HparamSearchSpaces |
HparamSearchSpaces.setColsampleBynode(DoubleHparamSearchSpace colsampleBynode)
Subsample ratio of columns for each node(split) for boosted tree models.
|
HparamSearchSpaces |
HparamSearchSpaces.setColsampleBytree(DoubleHparamSearchSpace colsampleBytree)
Subsample ratio of columns when constructing each tree for boosted tree models.
|
HparamSearchSpaces |
HparamSearchSpaces.setDartNormalizeType(StringHparamSearchSpace dartNormalizeType)
Dart normalization type for boosted tree models.
|
HparamSearchSpaces |
HparamSearchSpaces.setDropout(DoubleHparamSearchSpace dropout)
Dropout probability for dnn model training and boosted tree models using dart booster.
|
HparamSearchSpaces |
HparamSearchSpaces.setHiddenUnits(IntArrayHparamSearchSpace hiddenUnits)
Hidden units for neural network models.
|
HparamSearchSpaces |
HparamSearchSpaces.setL1Reg(DoubleHparamSearchSpace l1Reg)
L1 regularization coefficient.
|
HparamSearchSpaces |
HparamSearchSpaces.setL2Reg(DoubleHparamSearchSpace l2Reg)
L2 regularization coefficient.
|
HparamSearchSpaces |
HparamSearchSpaces.setLearnRate(DoubleHparamSearchSpace learnRate)
Learning rate of training jobs.
|
HparamSearchSpaces |
HparamSearchSpaces.setMaxTreeDepth(IntHparamSearchSpace maxTreeDepth)
Maximum depth of a tree for boosted tree models.
|
HparamSearchSpaces |
HparamSearchSpaces.setMinSplitLoss(DoubleHparamSearchSpace minSplitLoss)
Minimum split loss for boosted tree models.
|
HparamSearchSpaces |
HparamSearchSpaces.setMinTreeChildWeight(IntHparamSearchSpace minTreeChildWeight)
Minimum sum of instance weight needed in a child for boosted tree models.
|
HparamSearchSpaces |
HparamSearchSpaces.setNumClusters(IntHparamSearchSpace numClusters)
Number of clusters for k-means.
|
HparamSearchSpaces |
HparamSearchSpaces.setNumFactors(IntHparamSearchSpace numFactors)
Number of latent factors to train on.
|
HparamSearchSpaces |
HparamSearchSpaces.setNumParallelTree(IntHparamSearchSpace numParallelTree)
Number of parallel trees for boosted tree models.
|
HparamSearchSpaces |
HparamSearchSpaces.setOptimizer(StringHparamSearchSpace optimizer)
Optimizer of TF models.
|
HparamSearchSpaces |
HparamSearchSpaces.setSubsample(DoubleHparamSearchSpace subsample)
Subsample the training data to grow tree to prevent overfitting for boosted tree models.
|
HparamSearchSpaces |
HparamSearchSpaces.setTreeMethod(StringHparamSearchSpace treeMethod)
Tree construction algorithm for boosted tree models.
|
HparamSearchSpaces |
HparamSearchSpaces.setWalsAlpha(DoubleHparamSearchSpace walsAlpha)
Hyperparameter for matrix factoration when implicit feedback type is specified.
|
Modifier and Type | Method and Description |
---|---|
Model |
Model.setHparamSearchSpaces(HparamSearchSpaces hparamSearchSpaces)
Output only.
|
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