Hierarchical Ensemble Methods for Directed Acyclic Graphs


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Documentation for package ‘HEMDAG’ version 2.2.5

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A B C D E F G H L M N P R S T W

HEMDAG-package HEMDAG: Hierarchical Ensemble Methods for Directed Acyclic Graphs

-- A --

adj.upper.tri Binary Upper Triangular Adjacency Matrix
ancestors Build ancestors
AUPRC AUPRC measures
AUPRC.single.class AUPRC measures
AUPRC.single.over.classes AUPRC measures
AUROC AUROC measures
AUROC.single.class AUROC measures
AUROC.single.over.classes AUROC measures

-- B --

build.ancestors Build ancestors
build.ancestors.bottom.up Build ancestors
build.ancestors.per.level Build ancestors
build.children Build children
build.descendants Build descendants
build.descendants.bottom.up Build descendants
build.descendants.per.level Build descendants

-- C --

check.annotation.matrix.integrity Annotation matrix checker
check.DAG.integrity DAG checker
check.hierarchy Hierarchical constraints cheker
check.hierarchy.single.sample Hierarchical constraints cheker
children Build children
compute.flipped.graph Flip Graph
compute.Fmeasure.multilabel Compute Multilabel F-measure
constraints.matrix Constraints Matrix
create.stratified.fold.df DataFrame for Stratified Cross Validation

-- D --

descendants Build descendants
descens.tau Defunct functions in package 'HEMDAG'.
descens.threshold Defunct functions in package 'HEMDAG'.
descens.threshold.free Defunct functions in package 'HEMDAG'.
descens.weighted.threshold Defunct functions in package 'HEMDAG'.
descens.weighted.threshold.free Defunct functions in package 'HEMDAG'.
distances.from.leaves Distances from leaves
do.edges.from.HPO.obo Parse an HPO OBO file
Do.flat.scores.normalization Flat scores normalization
Do.full.annotation.matrix Do full annotations matrix
Do.GPAV GPAV - High Level Function
Do.GPAV.holdout GPAV holdout
Do.heuristic.methods Do Heuristic Methods
Do.heuristic.methods.holdout Do Heuristic Methods holdout
Do.HTD HTD-DAG vanilla
Do.HTD.holdout HTD-DAG holdout
do.stratified.cv.data.over.classes Stratified Cross Validation
do.stratified.cv.data.single.class Stratified Cross Validation
do.subgraph Build subgraph
do.submatrix Build submatrix
Do.TPR.DAG TPR-DAG cross-validation experiments
Do.TPR.DAG.holdout TPR-DAG holdout experiments
do.unstratified.cv.data Unstratified Cross Validation

-- E --

example.datasets Small real example datasets

-- F --

F.measure.multilabel Multilabel F-measure
F.measure.multilabel-method Multilabel F-measure
find.best.f Best hierarchical F-score
find.leaves Leaves
FMM Compute Multilabel F-measure
full.annotation.matrix Full annotations matrix

-- G --

g Small real example datasets
get.children.bottom.up Build children
get.children.top.down Build children
get.parents Build parents
get.parents.bottom.up Build parents
get.parents.top.down Build parents
get.parents.topological.sorting Build parents
GPAV Generalized Pool-Adjacent Violators
GPAV.over.examples GPAV Over Examples
GPAV.parallel GPAV Over Examples - Parallel Implementation
graph.levels Build Graph Levels

-- H --

HEMDAG HEMDAG: Hierarchical Ensemble Methods for Directed Acyclic Graphs
HEMDAG-defunct Defunct functions in package 'HEMDAG'.
Heuristic-Methods Obozinski Heuristic Methods
heuristicAND Obozinski Heuristic Methods
heuristicMAX Obozinski Heuristic Methods
heuristicOR Obozinski Heuristic Methods
hierarchical.checkers Hierarchical constraints cheker
htd HTD-DAG
HTD-DAG HTD-DAG

-- L --

L Small real example datasets

-- M --

Multilabel.F.measure Multilabel F-measure

-- N --

normalize.max Max normalization

-- P --

parents Build parents
precision.at.all.recall.levels.single.class Precision-Recall Measure
precision.at.given.recall.levels.over.classes Precision-Recall Measure
PXR Precision-Recall Measure

-- R --

read.graph Read a directed graph from a file
read.undirected.graph Read an undirected graph from a file
root.node Root node

-- S --

S Small real example datasets
scores.normalization Scores Normalization Function
specific.annotation.list Specific annotations list
specific.annotation.matrix HPO specific annotations matrix
stratified.cross.validation Stratified Cross Validation

-- T --

test.index Small real example datasets
TPR-DAG-cross-validation TPR-DAG cross-validation experiments
TPR-DAG-holdout TPR-DAG holdout experiments
TPR-DAG-variants TPR-DAG Ensemble Variants
TPR.DAG TPR-DAG Ensemble Variants
tpr.threshold Defunct functions in package 'HEMDAG'.
tpr.threshold.free Defunct functions in package 'HEMDAG'.
tpr.weighted.threshold Defunct functions in package 'HEMDAG'.
tpr.weighted.threshold.free Defunct functions in package 'HEMDAG'.
transitive.closure.annotations Transitive closure of annotations
tupla.matrix Tupla Matrix

-- W --

W Small real example datasets
weighted.adjacency.matrix Weighted Adjacency Matrix
write.graph Write a directed graph on file