nnrl/nn/distributions/abstract.py
def icdf(self, value):
        """Returns the inverse cumulative density/mass function evaluated at `value`."""
        if self.cond_dist is not None:
            return self.cond_dist.icdf(value, self.params)
        return torch.tensor(np.nan).float().expand_as(value)
Returns the inverse cumulative density/mass function evaluated at `value`.
Returns the inverse cumulative density/mass function evaluated at `value`.
Returns the inverse cumulative density / mass function evaluated at ` value ` .
def icdf(self, value):
        if self.cond_dist is not None:
            return self.cond_dist.icdf(value, self.params)
        return torch.tensor(np.nan).float().expand_as(value)
def icdf ( self , value ) : if self . cond_dist is not None : return self . cond_dist . icdf ( value , self . params ) return torch . tensor ( np . nan ) . float ( ) . expand_as ( value )
Returns the inverse cumulative density/mass function evaluated at `value`.
Returns the inverse cumulative density / mass function evaluated at ` value ` .
"""Returns the inverse cumulative density/mass function evaluated at `value`."""
self
value