code: def compute(self):
          '''
          Re-compute the :py:mod:`everest` model for the given
          value of :py:obj:`lambda`.
          For long cadence `k2` light curves, this should take several
          seconds. For short cadence `k2` light curves, it may take a
          few minutes. Note that this is a simple wrapper around
          :py:func:`everest.Basecamp.compute`.
  
          '''
  
          # If we're doing iterative PLD, get the normalization
          if self.model_name == 'iPLD':
              self._get_norm()
  
          # Compute as usual
          super(Everest, self).compute()
  
          # Make NaN cadences NaNs
          self.flux[self.nanmask] = np.naf compute(self):
          '''
          Re-compute the :py:mod:`everest` model for the given
          value of :py:obj:`lambda`.
          For long cadence `k2` light curves, this should take several
          seconds. For short cadence `k2` light curves, it may take a
          few minutes. Note that this is a simple wrapper around
          :py:func:`everest.Basecamp.compute`.
  
          '''
  
          # If we're doing iterative PLD, get the normalization
          if self.model_name == 'iPLD':
              self._get_norm()
  
          # Compute as usual
          super(Everest, self).compute()
  
          # Make NaN cadences NaNs
          self.flux[self.nanmask] = np.nan
docs: Re-compute the :py:mod:`everest` model for the given
          value of :py:obj:`lambda`.
          For long cadence `k2` light curves, this should take several
          seconds. For short cadence `k2` light curves, it may take a
          few minutes. Note that this is a simple wrapper around
          :py:func:`everest.Basecamp.compute`.