flystar233 / isoForest

Provides a simple method to replicate outlier detection using Isolation Forest.

isoForest

The isoForest package is a simple replication of the Isolation Forests algorithm for outlier detection, and the ranger package is used to truly construct the forests. In addition, the visualization of outliers is also implemented to help better observe the prediction results.

Installation

# Development version
devtools::install_github("flystar233/isoForest")

Usage

library(isoForest)
result <- isoForest(iris)
head(result$scores)
#     id average_depth anomaly_score
#   <int>         <dbl>         <dbl>
#1     1          7.81         0.554
#2     2          7.82         0.554
#3     3          7.71         0.559
#4     4          7.69         0.559
#5     5          7.78         0.556
#6     6          7.39         0.572

visualization

result <- isoForest(iris[1:2])
anomaly_plot(result,iris[1:2],plot_type="heatmap")