generate_train_data

An implementation of sparse Gaussian Markov random field mixtures
presented by Ide et al. (2016) <doi:10.1109/ICDM.2016.0119>.
It provides a novel anomaly detection method for multivariate noisy sensor data.
It can automatically handle multiple operational modes.
And it can also compute variable-wise anomaly scores.

Koji Makiyama

generate_train_data: Generate train data

Description

Usage

Arguments