Evaluation.mean_squared_error: Evaluation.mean_squared_error
In frbl/OnlineSuperLearner: Online SuperLearner package
Description
Usage
Arguments
Value
Description
Function to calculate the mean squared error (uses the mse loss function internally).
Usage
1
Evaluation.mean_squared_error(data.observed, data.predicted)
Arguments
data.observed
the true data (Y)
data.predicted
the Y outcome from the estimator
Value
double the calculated MSE.
frbl/OnlineSuperLearner documentation built on Feb. 9, 2020, 9:28 p.m.
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Description Usage Arguments Value
Description
Function to calculate the mean squared error (uses the mse loss function internally).
Usage
1 | Evaluation.mean_squared_error(data.observed, data.predicted)
|
Arguments
data.observed |
the true data (Y) |
data.predicted |
the Y outcome from the estimator |
Value
double the calculated MSE.
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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