randomforestprediction: Trains a random forest model.
In DescartesResearch/telescope: Hybrid Multi-Step-Ahead Forecasting
Description
Usage
Arguments
Value
View source: R/buildmetaleveldataset.R
Description
Trains a random forest model.
Usage
1
randomforestprediction(train, label, test)
Arguments
train
A matrix containing the seasonal component and fourier terms for training.
label
A vector containing the detrended time series.
test
A matrix containing the seasonal component and fourier terms for the prediction.
Value
The future detrended time series.
DescartesResearch/telescope documentation built on Oct. 23, 2021, 9:51 a.m.
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Description Usage Arguments Value
View source: R/buildmetaleveldataset.R
Description
Trains a random forest model.
Usage
1 | randomforestprediction(train, label, test)
|
Arguments
train |
A matrix containing the seasonal component and fourier terms for training. |
label |
A vector containing the detrended time series. |
test |
A matrix containing the seasonal component and fourier terms for the prediction. |
Value
The future detrended time series.
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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