org.tensorflow.op.estimator

Classes

BoostedTreesAggregateStats Aggregates the summary of accumulated stats for the batch. 
BoostedTreesBucketize Bucketize each feature based on bucket boundaries. 
BoostedTreesCalculateBestFeatureSplit Calculates gains for each feature and returns the best possible split information for the feature. 
BoostedTreesCalculateBestFeatureSplit.Options Optional attributes for BoostedTreesCalculateBestFeatureSplit  
BoostedTreesCalculateBestFeatureSplitV2 Calculates gains for each feature and returns the best possible split information for each node. 
BoostedTreesCalculateBestGainsPerFeature Calculates gains for each feature and returns the best possible split information for the feature. 
BoostedTreesCenterBias Calculates the prior from the training data (the bias) and fills in the first node with the logits' prior. 
BoostedTreesCreateEnsemble Creates a tree ensemble model and returns a handle to it. 
BoostedTreesCreateQuantileStreamResource Create the Resource for Quantile Streams. 
BoostedTreesCreateQuantileStreamResource.Options Optional attributes for BoostedTreesCreateQuantileStreamResource  
BoostedTreesDeserializeEnsemble Deserializes a serialized tree ensemble config and replaces current tree

ensemble. 
BoostedTreesEnsembleResourceHandleOp Creates a handle to a BoostedTreesEnsembleResource  
BoostedTreesEnsembleResourceHandleOp.Options Optional attributes for BoostedTreesEnsembleResourceHandleOp  
BoostedTreesExampleDebugOutputs Debugging/model interpretability outputs for each example. 
BoostedTreesFlushQuantileSummaries Flush the quantile summaries from each quantile stream resource. 
BoostedTreesGetEnsembleStates Retrieves the tree ensemble resource stamp token, number of trees and growing statistics. 
BoostedTreesMakeQuantileSummaries Makes the summary of quantiles for the batch. 
BoostedTreesMakeStatsSummary Makes the summary of accumulated stats for the batch. 
BoostedTreesPredict Runs multiple additive regression ensemble predictors on input instances and

computes the logits. 
BoostedTreesQuantileStreamResourceAddSummaries Add the quantile summaries to each quantile stream resource. 
BoostedTreesQuantileStreamResourceDeserialize Deserialize bucket boundaries and ready flag into current QuantileAccumulator. 
BoostedTreesQuantileStreamResourceFlush Flush the summaries for a quantile stream resource. 
BoostedTreesQuantileStreamResourceFlush.Options Optional attributes for BoostedTreesQuantileStreamResourceFlush  
BoostedTreesQuantileStreamResourceGetBucketBoundaries Generate the bucket boundaries for each feature based on accumulated summaries. 
BoostedTreesQuantileStreamResourceHandleOp Creates a handle to a BoostedTreesQuantileStreamResource. 
BoostedTreesQuantileStreamResourceHandleOp.Options Optional attributes for BoostedTreesQuantileStreamResourceHandleOp  
BoostedTreesSerializeEnsemble Serializes the tree ensemble to a proto. 
BoostedTreesSparseAggregateStats Aggregates the summary of accumulated stats for the batch. 
BoostedTreesSparseCalculateBestFeatureSplit Calculates gains for each feature and returns the best possible split information for the feature. 
BoostedTreesSparseCalculateBestFeatureSplit.Options Optional attributes for BoostedTreesSparseCalculateBestFeatureSplit  
BoostedTreesTrainingPredict Runs multiple additive regression ensemble predictors on input instances and

computes the update to cached logits. 
BoostedTreesUpdateEnsemble Updates the tree ensemble by either adding a layer to the last tree being grown

or by starting a new tree. 
BoostedTreesUpdateEnsembleV2 Updates the tree ensemble by adding a layer to the last tree being grown

or by starting a new tree. 
BoostedTreesUpdateEnsembleV2.Options Optional attributes for BoostedTreesUpdateEnsembleV2  
IsBoostedTreesEnsembleInitialized Checks whether a tree ensemble has been initialized. 
IsBoostedTreesQuantileStreamResourceInitialized Checks whether a quantile stream has been initialized.