msle: Mean Squared Logarithmic Error (MSLE)
In nikitagusarov/performancer: Performance Metrics for Discrete Choice Analysis
msle R Documentation
Mean Squared Logarithmic Error (MSLE)
Description
Compute Mean Squared Logarithmic Error (MSLE).
#'
Usage
msle(y_real, y_predicted, rowsums = TRUE)
Arguments
y_real
Observed values (integers) to compare with
(in matrix format for multiclass classification).
y_predicted
Predicte values (probabiblities by class).
rowsums
Whether in case of multiple classes in dataframe the metrics should be summed across classes before calculating the mean.
Value
integer value of Mean Squared Logarithmic Error (MSLE)
nikitagusarov/performancer documentation built on Jan. 12, 2023, 12:19 a.m.
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| msle | R Documentation |
Mean Squared Logarithmic Error (MSLE)
Description
Compute Mean Squared Logarithmic Error (MSLE). #'
Usage
msle(y_real, y_predicted, rowsums = TRUE)
Arguments
y_real |
Observed values (integers) to compare with (in matrix format for multiclass classification). |
y_predicted |
Predicte values (probabiblities by class). |
rowsums |
Whether in case of multiple classes in dataframe the metrics should be summed across classes before calculating the mean. |
Value
integer value of Mean Squared Logarithmic Error (MSLE)
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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