select_best {tsensembler} | R Documentation |
Selecting best model according to weights
Description
This function select the best model from a matrix of data x models. For each row (data point), the model with maximum weight is assigned a weight of 1, while the remaining models are assigned a weight of 0.
Usage
select_best(model_scores)
Arguments
model_scores |
matrix containing the model weights across the observations |
See Also
Other weighting base models:
EMASE()
,
build_committee()
,
get_top_models()
,
model_recent_performance()
,
model_weighting()
[Package tsensembler version 0.1.0 Index]