weirdness: weirdness wrappers for available anomalies detection methods

In stranger: Simple Toolkit in R for ANomalies Get, Explain and Report

Description

Those wrapper are mainly used internally by other functions and the recommended way is to start your detection process by using one of: strange, stranger or lucky_odds functions.

Usage

weird_knn(data = NULL, info = FALSE, colname = NULL, simplify = "mean",
  ...)

weird_lof(data = NULL, info = FALSE, colname = NULL, ...)

weird_autoencode(data = NULL, info = FALSE, colname = NULL, ...)

weird_abod(data = NULL, info = FALSE, colname = NULL, ...)

weird_pcout(data = NULL, info = FALSE, colname = NULL, ...)

weird_isofor(data = NULL, info = FALSE, colname = NULL, ...)

weird_kmeans(data = NULL, info = FALSE, colname = NULL, type = "means",
  ...)

weird_mahalanobis(data = NULL, info = FALSE, colname = NULL, ...)

weird_randomforest(data = NULL, info = FALSE, colname = NULL, ...)

Arguments

data	data pre-processed with crazyfy function
info	logical: either run the function (default) or simply return some information about it
colname	character: optional prefix to be used to prepare the naming of the generated column. All weird methods do have a default prefix (applied when colname is NULL). Note that generated output column name will still have some information added to reflect values used for some key parameters.
simplify	character of function - used by knn to aggregates distances to nearest k points.
...	additional parameters to be passed to weird method, for instance k for knn
type	one of "means" or "euclidian". See kmeans from stats package.

Details

For each weird wrapper, please refer to the documentation of the underlying function in its package.

stranger documentation built on March 18, 2018, 2:01 p.m.