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:
|Author||Dmitriy Bolotov [aut, cre]|
|Date of publication||2018-04-08 04:54:43 UTC|
|Maintainer||Dmitriy Bolotov <[email protected]>|
|License||GPL (>= 3)|
|Package repository||View on CRAN|
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