When evaluating the performance of a
keras model, these are the available metrics
For regression, I would however like to use e.g.
spearman, such that:
set.seed(13985) n_dps = 100 y_pred = runif(n_dps) y_true = runif(n_dps) pcc = cor(x = y_pred, y = y_true, method = "pearson") scc = cor(x = y_pred, y = y_true, method = "spearman") > pcc  0.04832645 > scc  0.09146115
I can't really seem to find a good example on how to do this - Any pointers would be appreciated