Calculate features importance score — consensus_importance

Given a vector of features importance (between 1 and 0), returns a consensus importance score.

Usage

consensus_importance_metric(x, metric, offset = 0)

x: Numeric vector of importance values (between 0 and 1).
metric: Character, one of the metrics to use to compute the consensus score. Can be one of 'min', 'max', 'average', 'product', 'l2' (for L2-norm), 'geometric' (for geometric mean) or 'harmonic' (for harmonic mean).
offset: Numeric (strictly positive), used to replace zero values to compute the geometric and harmonic mean. If 0 (default value), the zero values will be ignored when calculating the geometric and harmonic mean. Accepting vector of values to facilitate use whithin dplyr::summarise().

A numeric value, the importance consensus score.