Evaluation.log_loss: Evaluation.log_loss
In frbl/OnlineSuperLearner: Online SuperLearner package
Description
Usage
Arguments
Value
Description
Function to calculate the log loss evaluation metric.
Usage
1
Evaluation.log_loss(data.observed, data.predicted, eps = 1e-15)
Arguments
data.observed
the true data (Y).
data.predicted
the Y outcome from the estimator.
eps
is a small offset to let the log not go to Inf.
Value
double the calculated log loss.
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 log loss evaluation metric.
Usage
1 | Evaluation.log_loss(data.observed, data.predicted, eps = 1e-15)
|
Arguments
data.observed |
the true data (Y). |
data.predicted |
the Y outcome from the estimator. |
eps |
is a small offset to let the log not go to Inf. |
Value
double the calculated log loss.
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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