get_neg_ll_all_hist: Take data, projections and histograms as input, return the...

In liusi2019/btloda: Light weight online detector of anomalies(LODA) with bootstrap and out-of-bag

Description

Take data, projections and histograms as input, return the anomaly scores of the data.

Usage

get_neg_ll_all_hist(a, w, hists, inf_replace = log(1e-09))

Arguments

a	Input dataframe or data matrix.
w	Projections.
hists	Hisograms.
inf_replace	The quantity to use to replace the possible negative infinity got from calculating log density based on the histograms built. Default is log(1e-09).

Value

Anomaly scores.

Examples

a = matrix(rnorm(200, 0, 1), nrow = 20, ncol = 10)
bt_out = btloda(a,sparsity=NA, maxk=1000, inf_replace = log(1e-09))
b = matrix(rnorm(500, 0, 1), nrow = 50, ncol = 10)
get_neg_ll_all_hist(b, bt_out$pvh$w, bt_out$pvh$hists, inf_replace = log(1e-09))

liusi2019/btloda documentation built on Feb. 2, 2020, 5:31 a.m.