Package: amelie 0.2.1

amelie: Anomaly Detection with Normal Probability Functions

Implements anomaly detection as binary classification for cross-sectional data. Uses maximum likelihood estimates and normal probability functions to classify observations as anomalous. The method is presented in the following lecture from the Machine Learning course by Andrew Ng: <https://www.coursera.org/learn/machine-learning/lecture/C8IJp/algorithm/>, and is also described in: Aleksandar Lazarevic, Levent Ertoz, Vipin Kumar, Aysel Ozgur, Jaideep Srivastava (2003) <doi:10.1137/1.9781611972733.3>.

Authors:Dmitriy Bolotov [aut, cre]

amelie_0.2.1.tar.gz
amelie_0.2.1.zip(r-4.5)amelie_0.2.1.zip(r-4.4)amelie_0.2.1.zip(r-4.3)
amelie_0.2.1.tgz(r-4.4-any)amelie_0.2.1.tgz(r-4.3-any)
amelie_0.2.1.tar.gz(r-4.5-noble)amelie_0.2.1.tar.gz(r-4.4-noble)
amelie_0.2.1.tgz(r-4.4-emscripten)amelie_0.2.1.tgz(r-4.3-emscripten)
amelie.pdf |amelie.html✨
amelie/json (API)
NEWS

Peer review:

Bug tracker:https://github.com/dbolotov/amelie/issues

On CRAN:

anomaly-detection

2 exports 0.94 score 0 dependencies 1 mentions 6 scripts 295 downloads

Last updated 6 years agofrom:82d3d7bdc6. Checks:OK: 7. Indexed: yes.

Exports:adpdfunc

Dependencies: