MultClassMetrics: MultClassMetrics

In PauloCirino/MLAT: Machine Learning Automated Software

Description

Returns a multiClassResultList with multi class classificaiton metrics.

Usage

MultClassMetrics(Y, Y_hat, MetricsNames)

Arguments

Y	Ground truth numeric vector.
Y_hat	Predicted Labels numeric vector.
MetricsNames	Metrics names, avilable can be found with MultiClassMetricsNames() .

Value

A multiClassResultList with results

Examples

Y = sample(x = c(1,2, 3), size = 20, replace = TRUE)
Y_hat = sample(x = c(1, 2, 3), size = 20, replace = TRUE)
MultClassMetrics(Y = Y, Y_hat = Y_hat, MetricsNames = MultiClassMetricsNames())

PauloCirino/MLAT documentation built on May 13, 2019, 1:22 p.m.