Index (Common-Tree 4.3.2 API)

A B C D E F G H I L M N O P R S T U
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form

A

AbstractCARTTrainer<T> - Class in org.tribuo.common.tree: Base class for Trainer's that use an approximation of the CART algorithm to build a decision tree.
AbstractCARTTrainer(int, float, float, float, boolean, long) - Constructor for class org.tribuo.common.tree.AbstractCARTTrainer: After calls to this superconstructor subclasses must call postConfig().
AbstractCARTTrainer.AbstractCARTTrainerProvenance - Class in org.tribuo.common.tree: Deprecated.
AbstractCARTTrainerProvenance(Map<String, Provenance>) - Constructor for class org.tribuo.common.tree.AbstractCARTTrainer.AbstractCARTTrainerProvenance: Deprecated.

Deserialization constructor.
AbstractCARTTrainerProvenance(AbstractCARTTrainer<T>) - Constructor for class org.tribuo.common.tree.AbstractCARTTrainer.AbstractCARTTrainerProvenance: Deprecated.

Constructs a provenance for the host AbstractCARTTrainer.
AbstractTrainingNode<T> - Class in org.tribuo.common.tree: Base class for decision tree nodes used at training time.
AbstractTrainingNode(int, int, AbstractTrainingNode.LeafDeterminer) - Constructor for class org.tribuo.common.tree.AbstractTrainingNode: Builds an abstract training node.
AbstractTrainingNode.LeafDeterminer - Class in org.tribuo.common.tree: Contains parameters needed to determine whether a node is a leaf.
array - Variable in class org.tribuo.common.tree.impl.IntArrayContainer: The array of ints.

B

buildTree(int[], SplittableRandom, boolean) - Method in class org.tribuo.common.tree.AbstractTrainingNode: Builds next level of a tree.

C

computeDepth(int, Node<T>) - Static method in class org.tribuo.common.tree.TreeModel: Computes the depth of the tree.
convertTree() - Method in class org.tribuo.common.tree.AbstractTrainingNode: Converts a tree from a training representation to the final inference time representation.
copy() - Method in class org.tribuo.common.tree.AbstractTrainingNode
copy() - Method in class org.tribuo.common.tree.impl.IntArrayContainer: Returns a copy of the elements in use.
copy() - Method in class org.tribuo.common.tree.LeafNode
copy() - Method in interface org.tribuo.common.tree.Node: Copies the node and it's children.
copy() - Method in class org.tribuo.common.tree.SplitNode
copy(String, ModelProvenance) - Method in class org.tribuo.common.tree.TreeModel
countNodes(Node<T>) - Method in class org.tribuo.common.tree.TreeModel: Counts the number of nodes in the tree rooted at the supplied node, including that node.
createSplitNode() - Method in class org.tribuo.common.tree.AbstractTrainingNode: Transforms an AbstractTrainingNode into a SplitNode
CURRENT_VERSION - Static variable in class org.tribuo.common.tree.LeafNode: Protobuf serialization version.
CURRENT_VERSION - Static variable in class org.tribuo.common.tree.SplitNode: Protobuf serialization version.
CURRENT_VERSION - Static variable in class org.tribuo.common.tree.TreeModel: Protobuf serialization version.

D

DecisionTreeTrainer<T> - Interface in org.tribuo.common.tree: A tag interface for a Trainer so the random forests trainer can check if it's actually a tree.
DEFAULT_SIZE - Static variable in class org.tribuo.common.tree.AbstractTrainingNode: Default buffer size used in the split operation.
depth - Variable in class org.tribuo.common.tree.AbstractTrainingNode
deserializeFromProto(int, String, Any) - Static method in class org.tribuo.common.tree.TreeModel: Deserialization factory.
deserializeFromProtos(List<TreeNodeProto>, Class<U>) - Static method in class org.tribuo.common.tree.TreeModel: We will start off with a list of node builders that we will replace item-by-item with the nodes that they built.

E

ensembleName() - Method in class org.tribuo.common.tree.ExtraTreesTrainer
ensembleName() - Method in class org.tribuo.common.tree.RandomForestTrainer
equals(Object) - Method in class org.tribuo.common.tree.LeafNode
equals(Object) - Method in class org.tribuo.common.tree.SplitNode
ExtraTreesTrainer<T> - Class in org.tribuo.common.tree: A trainer which produces an Extremely Randomized Tree Ensemble.
ExtraTreesTrainer(DecisionTreeTrainer<T>, EnsembleCombiner<T>, int) - Constructor for class org.tribuo.common.tree.ExtraTreesTrainer: Constructs an ExtraTreesTrainer with the default seed Trainer.DEFAULT_SEED.
ExtraTreesTrainer(DecisionTreeTrainer<T>, EnsembleCombiner<T>, int, long) - Constructor for class org.tribuo.common.tree.ExtraTreesTrainer: Constructs an ExtraTreesTrainer with the supplied seed, trainer, combining function and number of members.

F

fill(int[]) - Method in class org.tribuo.common.tree.impl.IntArrayContainer: Overwrites values from the supplied array into this array.
fill(IntArrayContainer) - Method in class org.tribuo.common.tree.impl.IntArrayContainer: Overwrites values in this array with the supplied array.
fractionFeaturesInSplit - Variable in class org.tribuo.common.tree.AbstractCARTTrainer: Number of features to sample per split.

G

getDepth() - Method in class org.tribuo.common.tree.AbstractTrainingNode: The depth of this node in the tree.
getDepth() - Method in class org.tribuo.common.tree.TreeModel: Probes the tree to find the depth.
getDistribution() - Method in class org.tribuo.common.tree.LeafNode: Gets the distribution over scores in this node.
getExcuse(Example<T>) - Method in class org.tribuo.common.tree.TreeModel
getFeatureID() - Method in class org.tribuo.common.tree.SplitNode: Gets the feature ID that this node uses for splitting.
getFeatures() - Method in class org.tribuo.common.tree.TreeModel: Returns the set of features which are split on in this tree.
getFractionFeaturesInSplit() - Method in class org.tribuo.common.tree.AbstractCARTTrainer
getFractionFeaturesInSplit() - Method in interface org.tribuo.common.tree.DecisionTreeTrainer: Returns the feature subsampling rate.
getGreaterThan() - Method in class org.tribuo.common.tree.SplitNode: The node used if the value is greater than the splitValue.
getImpurity() - Method in class org.tribuo.common.tree.LeafNode
getImpurity() - Method in interface org.tribuo.common.tree.Node: The impurity score of this node.
getImpurity() - Method in class org.tribuo.common.tree.SplitNode
getInvocationCount() - Method in class org.tribuo.common.tree.AbstractCARTTrainer
getLessThanOrEqual() - Method in class org.tribuo.common.tree.SplitNode: The node used if the value is less than or equal to the splitValue.
getMaxDepth() - Method in class org.tribuo.common.tree.AbstractTrainingNode.LeafDeterminer: Gets the maximum tree depth.
getMinChildWeight() - Method in class org.tribuo.common.tree.AbstractTrainingNode.LeafDeterminer: Gets the minimum example weight of a child node.
getMinImpurityDecrease() - Method in class org.tribuo.common.tree.AbstractCARTTrainer
getMinImpurityDecrease() - Method in interface org.tribuo.common.tree.DecisionTreeTrainer: Returns the minimum decrease in impurity necessary to split a node.
getNextNode(SparseVector) - Method in class org.tribuo.common.tree.AbstractTrainingNode
getNextNode(SparseVector) - Method in class org.tribuo.common.tree.LeafNode
getNextNode(SparseVector) - Method in interface org.tribuo.common.tree.Node: Returns the next node in the tree based on the supplied example, or null if it's a leaf.
getNextNode(SparseVector) - Method in class org.tribuo.common.tree.SplitNode: Return the appropriate child node.
getNumExamples() - Method in class org.tribuo.common.tree.AbstractTrainingNode: The number of training examples in this node.
getOutput() - Method in class org.tribuo.common.tree.LeafNode: Gets the output in this node.
getPrediction(int, Example<T>) - Method in class org.tribuo.common.tree.LeafNode: Constructs a new prediction object based on this node's scores.
getRoot() - Method in class org.tribuo.common.tree.TreeModel: Returns the root node of this tree.
getScaledMinImpurityDecrease() - Method in class org.tribuo.common.tree.AbstractTrainingNode.LeafDeterminer: Gets the minimum impurity decrease necessary to split a node.
getTopFeatures(int) - Method in class org.tribuo.common.tree.TreeModel
getUseRandomSplitPoints() - Method in class org.tribuo.common.tree.AbstractCARTTrainer
getUseRandomSplitPoints() - Method in interface org.tribuo.common.tree.DecisionTreeTrainer: Returns whether to choose split points for features at random.
getWeightSum() - Method in class org.tribuo.common.tree.AbstractTrainingNode: The sum of the weights associated with this node's examples.
greaterThan - Variable in class org.tribuo.common.tree.AbstractTrainingNode
grow(int) - Method in class org.tribuo.common.tree.impl.IntArrayContainer: Grows the backing array, copying the elements.

H

hashCode() - Method in class org.tribuo.common.tree.LeafNode
hashCode() - Method in class org.tribuo.common.tree.SplitNode

I

impurityScore - Variable in class org.tribuo.common.tree.AbstractTrainingNode
IntArrayContainer - Class in org.tribuo.common.tree.impl: An array container which maintains the array and the size.
IntArrayContainer(int) - Constructor for class org.tribuo.common.tree.impl.IntArrayContainer: Constructs a new int array container with the specified initial backing array size.
isLeaf() - Method in class org.tribuo.common.tree.AbstractTrainingNode
isLeaf() - Method in class org.tribuo.common.tree.LeafNode
isLeaf() - Method in interface org.tribuo.common.tree.Node: Is it a leaf node?
isLeaf() - Method in class org.tribuo.common.tree.SplitNode

L

leafDeterminer - Variable in class org.tribuo.common.tree.AbstractTrainingNode
LeafDeterminer(int, float, float) - Constructor for class org.tribuo.common.tree.AbstractTrainingNode.LeafDeterminer: Constructs a leaf determiner using the supplied parameters.
LeafNode<T> - Class in org.tribuo.common.tree: An immutable leaf Node that can create a prediction.
LeafNode(double, T, Map<String, T>, boolean) - Constructor for class org.tribuo.common.tree.LeafNode: Constructs a leaf node.
lessThanOrEqual - Variable in class org.tribuo.common.tree.AbstractTrainingNode

M

maxDepth - Variable in class org.tribuo.common.tree.AbstractCARTTrainer: Maximum tree depth.
merge(List<int[]>, IntArrayContainer, IntArrayContainer) - Static method in class org.tribuo.common.tree.impl.IntArrayContainer: Merges the list of int arrays into a single int array, using the two supplied buffers.
merge(IntArrayContainer, int[], IntArrayContainer) - Static method in class org.tribuo.common.tree.impl.IntArrayContainer: Merges input and otherArray writing to output.
MIN_EXAMPLES - Static variable in class org.tribuo.common.tree.AbstractCARTTrainer: Default minimum weight of examples allowed in a leaf node.
minChildWeight - Variable in class org.tribuo.common.tree.AbstractCARTTrainer: Minimum weight of examples allowed in a leaf.
minImpurityDecrease - Variable in class org.tribuo.common.tree.AbstractCARTTrainer: Minimum impurity decrease.
mkTrainingNode(Dataset<T>, AbstractTrainingNode.LeafDeterminer) - Method in class org.tribuo.common.tree.AbstractCARTTrainer: Makes the initial training node.

N

Node<T> - Interface in org.tribuo.common.tree: A node in a decision tree.
numExamples - Variable in class org.tribuo.common.tree.AbstractTrainingNode

O

org.tribuo.common.tree - package org.tribuo.common.tree: Provides common functionality for building decision trees, irrespective of the predicted Output.
org.tribuo.common.tree.impl - package org.tribuo.common.tree.impl: Provides internal implementation classes for building decision trees.

P

postConfig() - Method in class org.tribuo.common.tree.AbstractCARTTrainer: Used by the OLCUT configuration system, and should not be called by external code.
postConfig() - Method in class org.tribuo.common.tree.ExtraTreesTrainer
postConfig() - Method in class org.tribuo.common.tree.RandomForestTrainer: Used by the OLCUT configuration system, and should not be called by external code.
predict(Example<T>) - Method in class org.tribuo.common.tree.TreeModel

R

RandomForestTrainer<T> - Class in org.tribuo.common.tree: A trainer which produces a random forest.
RandomForestTrainer(DecisionTreeTrainer<T>, EnsembleCombiner<T>, int) - Constructor for class org.tribuo.common.tree.RandomForestTrainer: Constructs a RandomForestTrainer with the default seed Trainer.DEFAULT_SEED.
RandomForestTrainer(DecisionTreeTrainer<T>, EnsembleCombiner<T>, int, long) - Constructor for class org.tribuo.common.tree.RandomForestTrainer: Constructs a RandomForestTrainer with the supplied seed, trainer, combining function and number of members.
removeOther(IntArrayContainer, int[], IntArrayContainer) - Static method in class org.tribuo.common.tree.impl.IntArrayContainer: Copies from input to output excluding the values in otherArray.
rng - Variable in class org.tribuo.common.tree.AbstractCARTTrainer

S

seed - Variable in class org.tribuo.common.tree.AbstractCARTTrainer
serialize() - Method in class org.tribuo.common.tree.TreeModel
serializeToNodes(Node<T>) - Method in class org.tribuo.common.tree.TreeModel: Serializes the supplied node tree into a list of protobufs.
setInvocationCount(int) - Method in class org.tribuo.common.tree.AbstractCARTTrainer
shouldMakeLeaf(double, float) - Method in class org.tribuo.common.tree.AbstractTrainingNode: Determines whether the node to be created should be a LeafNode.
size - Variable in class org.tribuo.common.tree.impl.IntArrayContainer: The number of elements in the array.
split - Variable in class org.tribuo.common.tree.AbstractTrainingNode
splitID - Variable in class org.tribuo.common.tree.AbstractTrainingNode
SplitNode<T> - Class in org.tribuo.common.tree: An immutable Node with a split and two child nodes.
SplitNode(double, int, double, Node<T>, Node<T>) - Constructor for class org.tribuo.common.tree.SplitNode: Constructs a split node with the specified split value, feature id, impurity and child nodes.
splitValue - Variable in class org.tribuo.common.tree.AbstractTrainingNode
splitValue() - Method in class org.tribuo.common.tree.SplitNode: The threshold value.

T

toString() - Method in class org.tribuo.common.tree.ExtraTreesTrainer
toString() - Method in class org.tribuo.common.tree.LeafNode
toString() - Method in class org.tribuo.common.tree.RandomForestTrainer
toString() - Method in class org.tribuo.common.tree.SplitNode
toString() - Method in class org.tribuo.common.tree.TreeModel
train(Dataset<T>) - Method in class org.tribuo.common.tree.AbstractCARTTrainer
train(Dataset<T>, Map<String, Provenance>) - Method in class org.tribuo.common.tree.AbstractCARTTrainer
train(Dataset<T>, Map<String, Provenance>, int) - Method in class org.tribuo.common.tree.AbstractCARTTrainer
trainInvocationCounter - Variable in class org.tribuo.common.tree.AbstractCARTTrainer
TreeModel<T> - Class in org.tribuo.common.tree: A Model wrapped around a decision tree root Node.
TreeModel(String, ModelProvenance, ImmutableFeatureMap, ImmutableOutputInfo<T>, boolean, Map<String, List<String>>) - Constructor for class org.tribuo.common.tree.TreeModel: Constructs a trained decision tree model.

U

useRandomSplitPoints - Variable in class org.tribuo.common.tree.AbstractCARTTrainer: Whether to choose split points for features at random.

A B C D E F G H I L M N O P R S T U
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form