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:
- Version0.2.1
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release03/18/2019
Documentation
Team
Dmitriy Bolotov
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports1 package
- Suggests3 packages