| Name : R-amelie
| |
| Version : 0.2.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:05:06
|
| Group : Development/Libraries/Other
| Source RPM : R-amelie-0.2.1-lp153.2.13.src.rpm
|
| Size : 0.06 MB
| |
| Packager : (none)
| |
| Summary : Anomaly Detection with Normal Probability Functions
|
Description :
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>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
