MultiLogLoss: Multi Class Log Loss

In LqNoob/Machine-Learning-Evaluation-Metrics: Machine Learning Evaluation Metrics

Description

Compute the multi class log loss.

Usage

MultiLogLoss(y_pred, y_true)

Arguments

y_pred	Predicted probabilities matrix, as returned by a classifier
y_true	Ground truth (correct) labels vector or a matrix of correct labels indicating by 0-1, same format as probabilities matrix

Value

Multi Class Log Loss

Examples

data(iris)
svm.model <- e1071::svm(Species~., data = iris, probability = TRUE)
pred <- predict(svm.model, iris, probability = TRUE)
MultiLogLoss(y_true = iris$Species, y_pred = attr(pred, "probabilities"))

LqNoob/Machine-Learning-Evaluation-Metrics documentation built on May 20, 2019, 3:33 p.m.