Isolation-Based Outlier Detection

---

Documentation for package ‘isotree’ version 0.6.1-1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

isolation.forest	Create Isolation Forest Model
isotree.add.tree	Add additional (single) tree to isolation forest model
isotree.append.trees	Append isolation trees from one model into another
isotree.build.indexer	Build Indexer for Faster Terminal Node Predictions and/or Distance Calculations
isotree.deep.copy	Deep-Copy an Isolation Forest Model Object
isotree.drop.imputer	Drop Imputer Sub-Object from Isolation Forest Model Object
isotree.drop.indexer	Drop Indexer Sub-Object from Isolation Forest Model Object
isotree.drop.reference.points	Drop Reference Points from Isolation Forest Model Object
isotree.export.model	Export Isolation Forest model
isotree.get.num.nodes	Get Number of Nodes per Tree
isotree.import.model	Load an Isolation Forest model exported from Python
isotree.is.same	Check if two Isolation Forest Models Share the Same C++ Object
isotree.plot.tree	Plot Tree from Isolation Forest Model
isotree.restore.handle	Unpack isolation forest model after de-serializing
isotree.set.nthreads	Set Number of Threads for Isolation Forest Model Object
isotree.set.reference.points	Set Reference Points to Calculate Distances or Kernels With
isotree.subset.trees	Subset trees of a given model
isotree.to.graphviz	Generate GraphViz Dot Representation of Tree
isotree.to.json	Generate JSON representations of model trees
isotree.to.sql	Generate SQL statements from Isolation Forest model
length.isolation_forest	Get Number of Trees in Model
predict.isolation_forest	Predict method for Isolation Forest
print.isolation_forest	Print summary information from Isolation Forest model
summary.isolation_forest	Print summary information from Isolation Forest model
variable.names.isolation_forest	Get Variable Names for Isolation Forest Model
[.isolation_forest	Subset trees of a given model