credit.transforms_downscaling#

Attributes#

logger

transforms_downscaling.py

Classes#

Expand

Pad

Minmax

Zscore

Power

Clip

Identity

DataTransforms

[insert more documentation here]

Functions#

rescale(x[, offset, scale, inverse])

Module Contents#

credit.transforms_downscaling.logger#

transforms_downscaling.py#

class credit.transforms_downscaling.Expand#
by: int#
__call__(x, inverse=False)#
class credit.transforms_downscaling.Pad#
left: int = 0#
right: int = 0#
top: int = 0#
bottom: int = 0#
mode: str = 'edge'#
__call__(x, inverse=False)#
credit.transforms_downscaling.rescale(x, offset=0, scale=1, inverse=False)#
class credit.transforms_downscaling.Minmax#
mmin: float#
mmax: float#
__call__(x, inverse=False)#
class credit.transforms_downscaling.Zscore#
mean: float = 0#
stdev: float = 1#
__call__(x, inverse=False)#
class credit.transforms_downscaling.Power#
exponent: float#
__call__(x, inverse=False)#
class credit.transforms_downscaling.Clip#
cmin: float = None#
cmax: float = None#
__call__(x, inverse=False)#
class credit.transforms_downscaling.Identity#
__call__(x, inverse=False, **kwargs)#
class credit.transforms_downscaling.DataTransforms(vardict, transdict, rootpath, dim, zstride=1)#

[insert more documentation here]

xclassdict#
transforms#
__call__(x, inverse=False)#