merging_in_experts: Merge models in each committee
In vcerqueira/tsensembler: Dynamic Ensembles for Time Series Forecasting
View source: R/ca-integration.r
Description
Merge models in each committee
Usage
1
merging_in_experts(C, Y_hat, W, FUN)
Arguments
C
list of ids representing
the models in each subset
Y_hat
data frame with the prediction of each model
across data
W
weights of each model according to recent performance
FUN
function used to combine the models in each
subset. Currently implemented options are: window_loss,
simple, and blast.
vcerqueira/tsensembler documentation built on Oct. 28, 2020, 11:46 p.m.
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View source: R/ca-integration.r
Description
Merge models in each committee
Usage
1 | merging_in_experts(C, Y_hat, W, FUN)
|
Arguments
C |
list of ids representing the models in each subset |
Y_hat |
data frame with the prediction of each model across data |
W |
weights of each model according to recent performance |
FUN |
function used to combine the models in each subset. Currently implemented options are: window_loss, simple, and blast. |
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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