meta_predict: Predicting loss using arbiter
In tsensembler: Dynamic Ensembles for Time Series Forecasting
View source: R/meta-modeling.R
Description
Predicting loss using arbiter
Usage
1
meta_predict(model, newdata, meta_model)
Arguments
model
arbiter model
newdata
new data to predict loss
meta_model
learning algorithm – either a "randomforest",
a "lasso", or a "gaussianprocess".
tsensembler documentation built on Oct. 27, 2020, 5:07 p.m.
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View source: R/meta-modeling.R
Description
Predicting loss using arbiter
Usage
1 | meta_predict(model, newdata, meta_model)
|
Arguments
model |
arbiter model |
newdata |
new data to predict loss |
meta_model |
learning algorithm – either a "randomforest", a "lasso", or a "gaussianprocess". |
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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