Isolation forest is anomaly detection method introduced by the paper Isolation based Anomaly Detection (Liu, Ting and Zhou <doi:10.1145/2133360.2133363>).
| Version: | 0.2.0 |
| Depends: | R (≥ 3.4.0) |
| Imports: | ranger (≥ 0.10.0), data.table (≥ 1.11.4), igraph (≥ 1.2.2), future.apply (≥ 0.2.0), R6 (≥ 2.4.0) |
| Suggests: | rsample (≥ 0.0.4) |
| Published: | 2019-08-24 |
| Author: | Komala Sheshachala Srikanth [aut, cre] |
| Maintainer: | Komala Sheshachala Srikanth <sri.teach at gmail.com> |
| BugReports: | https://github.com/talegari/solitude/issues |
| License: | GPL-3 |
| URL: | https://github.com/talegari/solitude |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | solitude results |
| Reference manual: | solitude.pdf |
| Package source: | solitude_0.2.0.tar.gz |
| Windows binaries: | r-devel: solitude_0.2.0.zip, r-devel-gcc8: solitude_0.2.0.zip, r-release: solitude_0.2.0.zip, r-oldrel: solitude_0.2.0.zip |
| OS X binaries: | r-release: solitude_0.2.0.tgz, r-oldrel: solitude_0.2.0.tgz |
| Old sources: | solitude archive |
| Reverse suggests: | performance |
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