ESI Loss Functions#

class spatialize.gs.esi.lossfunction.OperationalErrorLoss(dyn_range=None, use_cube=False)#

This is a class for creating functions (callable instances) that belong to a family of functions indexed by a given dynamic range.

Methods

__call__(estimation, esi_samples)

Call self as a function.

spatialize.gs.esi.lossfunction.loss(agg_function)#: Decorator to apply a loss function to the ESI samples.

spatialize.gs.esi.aggfunction.MAP(samples)#: Computes the mode of the samples.

class spatialize.gs.esi.aggfunction.Percentile(q=75)#

Computes the percentile of the samples.

Methods

__call__(samples)

Call self as a function.

class spatialize.gs.esi.aggfunction.WeightedAverage(normalize=False, weights=None, force_resample=True)#

Computes the weighted average of the samples.

Methods

__call__(samples)

Call self as a function.

spatialize.gs.esi.aggfunction.bilateral_filter(samples)#: Applies a bilateral filter to the samples.

spatialize.gs.esi.aggfunction.identity(samples)#: Returns the samples as they are

spatialize.gs.esi.aggfunction.mean(samples)#: Computes the mean of the samples.

spatialize.gs.esi.aggfunction.median(samples)#: Computes the median of the samples.