decode

Decoder(categories[, n_splits, n_repeats, ...])

classes_from_labels(labels[, delim, which, ...])	Extract class IDs from string labels.
confusion_matrix(y_true, y_pred[, labels, ...])	Compute confusion matrix to evaluate the accuracy of a classification.
flatten_features(arr[, obs_axs])	Flatten features in an array.
flatten_list(nested_list)	Flatten a nested list of strings.
nan_common_denom(array[, sort, trials_ax, ...])	Remove trials with NaNs from all channels.
plot_all_scores(all_scores, conds, idxs, colors)	Plot scores for different conditions and categories.
sample_fold(train_idx, test_idx, x_data, ...)	Sample a fold of data for cross-validation.