MetricsWeighted (version 0.1.0)

logLoss: Log Loss/binary cross entropy

Description

Weighted logloss/cross entropy.

Usage

logLoss(actual, predicted, w = NULL, ...)

Arguments

actual

Observed values.

predicted

Predicted values.

w

Optional case weights.

...

Further arguments passed to weighted_mean.

Value

A numeric vector of length one.

See Also

logLoss.

Examples

# NOT RUN {
logLoss(c(0, 0, 1, 1), c(0.1, 0.1, 0.9, 0.8))
logLoss(c(1, 0, 0, 1), c(0.1, 0.1, 0.9, 0.8))
logLoss(c(0, 0, 1, 1), c(0.1, 0.1, 0.9, 0.8), w = 1:4)

# }