All Classes and Interfaces

Class
Description
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Statistics of the metric of the model candidate over (inner) folds
 
 
 
 
 
 
 
 
 
 
 
 
 
A lightweight representation of a decision tree node's impurity.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Consumes a BatchQueue containing long indices into a nodeIds LongArrayAccessor.
 
 
 
 
A training objective that computes a loss over a batch of nodes
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Represents a sorted list of doubles, sorted according to their absolute value in increasing order.
 
 
 
 
 
Splits an HugeLongArray of nodes into k NodeSplits, each of which contains a train set and a test set.
 
 
 
 
 
 
 
 
 
 
Splits an undirected graph into two Relationships objects.