olmlr.predict: ELM Predictions
In ForAI: Forecasting with Artificial Intelligence
Description
Usage
Arguments
Value
References
Description
Function for predictions from the results of OL-MLR model fitting function.
Usage
1
olmlr.predict(TrainedMLR, X.fit)
Arguments
TrainedMLR
a MLR object for which prediction is desired.
X.fit
Data matrix (numeric) containing the input values (predictors).
Value
The fitted values.
References
Ross, G. H., 1987: An updateable model output statistics scheme.
Programme on Short- and Medium Range Weather Prediction,
PSMP Report Series, No. 25, World Meteorological Organization, 25–28.
Laurence J. Wilson and Marcel Vallee, 2002: The Canadian Updateable Model Output Statistics (UMOS) System:
Design and Development Tests. Wea. Forecasting, 17, 206–222
ForAI documentation built on May 2, 2019, 6:14 p.m.
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Description Usage Arguments Value References
Description
Function for predictions from the results of OL-MLR model fitting function.
Usage
1 | olmlr.predict(TrainedMLR, X.fit)
|
Arguments
TrainedMLR |
a MLR object for which prediction is desired. |
X.fit |
Data matrix (numeric) containing the input values (predictors). |
Value
The fitted values.
References
Ross, G. H., 1987: An updateable model output statistics scheme. Programme on Short- and Medium Range Weather Prediction, PSMP Report Series, No. 25, World Meteorological Organization, 25–28.
Laurence J. Wilson and Marcel Vallee, 2002: The Canadian Updateable Model Output Statistics (UMOS) System: Design and Development Tests. Wea. Forecasting, 17, 206–222
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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