#' @title turn matrix to heatmap
#' @description turn matrix to heatmap
#' @param confusion_mat matrix from python machine learning
#' @param class vector, the y class order(must the right order)
#'
#' @return ggplot object
#'
#' @examples
#'
#'
#' @rdname confusion_matrix_to_heatmap
#' @export
#'
confusion_matrix_to_heatmap <- function(confusion_mat,
class ) {
library(ggplot2)
library(tidyverse)
library(ggthemes)
confusion_mat <- confusion_mat %>% as.data.frame()
rownames(confusion_mat) <- class
colnames(confusion_mat) <- class
confusion_mat_to_plot <-
confusion_mat %>%
rownames_to_column(., var = "ylab") %>%
gather(., xlab, count, class)
ggheatmap <-
ggplot(confusion_mat_to_plot, aes(xlab, ylab, fill = count)) +
geom_tile(color = "white") +
scale_fill_gradient_tableau(palette = "Blue") +
theme_minimal()+
labs(x = "Predicted", y = "Actual") +
#theme(axis.text.x = element_text(angle = 0, vjust = 1,
# size = 12, hjust = 1),
# axis.text.y = element_text(angle = 0, vjust = 1,
# size = 12, hjust = 1))+
coord_fixed() +
geom_text(aes(xlab, ylab, label = count), color = "black", size = 4)
return(ggheatmap)
}
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