spyrit.misc.statistics

Functions

Cov2Var(Cov)	Extracts Variance Matrix from Covariance Matrix
cov_walsh(dataloader, mean, device[, n_loop])	nloop > 1 is relevant for dataloaders with random crops such as that provided by data_loaders_ImageNet
data_loaders_ImageNet(train_root[, ...])	Args:
data_loaders_stl10(data_root[, img_size, ...])	Args:
img2mask(Ord, M)	Returns subsampling mask from order matrix
mea_abs_model(dataloader, device, model, root)
mean_walsh(dataloader, device[, n_loop])	nloop > 1 is relevant for dataloaders with random crops such as that provided by data_loaders_ImageNet
optim_had(dataloader, root)	Computes image that ranks the hadamard coefficients
stat_fwalsh_S(dataloader, device, root)
stat_fwalsh_S_stl10([stat_root, data_root, ...])	Fast Walsh S-transform of X in "2D"
stat_mean_coef_from_model(dataloader, ...)
stat_model(dataloader, device, model, root)
stat_walsh(dataloader, device, root[, n_loop])	nloop > 1 is relevant for dataloaders with random crops such as that provided by data_loaders_ImageNet
stat_walsh_ImageNet([stat_root, data_root, ...])	Args:
stat_walsh_stl10([stat_root, data_root, ...])	Args:
transform_gray_norm(img_size)	Args:

Classes

CenterCrop(img_size)

Args: