sequential_reweighting: Sequential Re-weighting for controlling predictions'...

Description Usage Arguments

View source: R/sequential-reweight.R

Description

Besides ensemble heterogeneity we encourage diversity explicitly during the aggregation of the output of experts. This is achieved by taking into account not only predictions of performance produced by the arbiters, but also the correlation among experts in a recent window of observations.

Usage

1

Arguments

sliding_similarity

list of pairwise similarity values. See sliding_similarity

W

weights before re-weighting


tsensembler documentation built on Oct. 27, 2020, 5:07 p.m.