df_spearman: Spearman Coefficient of Correlation (R) (computation...

Description Usage Arguments Value Examples

Description

This function computes the Spearman Coefficient of Correlation loss (R) provided preds and labels, while handling multiclass problems (mean).

Usage

1

Arguments

preds

The predictions.

labels

The labels.

Value

The Spearman Coefficient of Correlation.

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
library(data.table)

# Regression problem
my_preds <- dnorm(rnorm(n = 9*6*10))
my_labels <- runif(n = 9*6*10)
df_spearman(my_preds, my_labels)

# Binary classification problem
my_preds <- dnorm(rnorm(n = 9*6*10))
my_labels <- as.numeric(runif(n = 9*6*10) >= 0.5)
df_spearman(my_preds, my_labels)

# Multiclass classification problem
my_preds <- data.table(matrix(dnorm(rnorm(n = 9*6*10)), nrow = 9*10))
my_labels <- rep(c(1, 2, 3, 4, 5, 1, 0, 2, 3), 10)
df_spearman(my_preds, my_labels)

Laurae2/Laurae documentation built on May 8, 2019, 7:59 p.m.