mse: Computing the mean squared error
In tsensembler: Dynamic Ensembles for Time Series Forecasting
Description
Usage
Arguments
See Also
Description
Utility function to compute mean squared error (MSE)
Usage
1
mse(y, y_hat)
Arguments
y
A numeric vector representing the actual values.
y_hat
A numeric vector representing the forecasted values.
See Also
Other error/performance functions:
ae(),
se()
tsensembler documentation built on Oct. 27, 2020, 5:07 p.m.
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Description Usage Arguments See Also
Description
Utility function to compute mean squared error (MSE)
Usage
1 | mse(y, y_hat)
|
Arguments
y |
A numeric vector representing the actual values. |
y_hat |
A numeric vector representing the forecasted values. |
See Also
Other error/performance functions:
ae(),
se()
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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