frites.core.copnorm_cat_nd#
- frites.core.copnorm_cat_nd(x, y, axis=- 1)[source]#
Categorical Copula normalization for multidimentional array.
This function apply the copnorm per categories.
- Parameters
- xnumpy:array_like
Array of data
- ynumpy:array_like
Array of shape (n_epochs,) of integers describing the categories.
- axis
python:int| -1 Epoch (or trial) axis. By default, the last axis is considered
- Returns
- cxnumpy:array_like
Standard normal samples with the same empirical CDF value as the input.