get_top_models: Extract top learners from their weights
In vcerqueira/tsensembler: Dynamic Ensembles for Time Series Forecasting
Description
Usage
Arguments
Value
See Also
View source: R/ensembling-pipes.R
Description
This function extracts the top learners at each test point
from a score matrix, according to the committee ratio omega.
Usage
1
get_top_models(scores, omega)
Arguments
scores
data frame containing the weights;
omega
committee ratio of top base learners
Value
A list containing the top base models
See Also
Other weighting base models: EMASE,
build_committee,
model_recent_performance,
model_weighting, select_best
vcerqueira/tsensembler documentation built on Oct. 28, 2020, 11:46 p.m.
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Description Usage Arguments Value See Also
View source: R/ensembling-pipes.R
Description
This function extracts the top learners at each test point from a score matrix, according to the committee ratio omega.
Usage
1 | get_top_models(scores, omega)
|
Arguments
scores |
data frame containing the weights; |
omega |
committee ratio of top base learners |
Value
A list containing the top base models
See Also
Other weighting base models: EMASE,
build_committee,
model_recent_performance,
model_weighting, select_best
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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