original_docstring: Calculate low-rank component of the cost
  
          This method returns the nuclear norm error of the deconvolved data in
          matrix form
  
          Returns
          -------
          float low-rank cost component
  
          
docstring: Calculate low-rank component of the cost
  This method returns the nuclear norm error of the deconvolved data in
  matrix form
  
  Returns
  
  float low-rank cost component
docstring_tokens: Calculate low - rank component of the cost This method returns the nuclear norm error of the deconvolved data in matrix form Returns float low - rank cost component
code: def _cost_method(self, *args, **kwargs):
          """Calculate low-rank component of the cost
  
          This method returns the nuclear norm error of the deconvolved data in
          matrix form
  
          Returns
          -------
          float low-rank cost component
  
          """
  
          cost_val = self.thresh * nuclear_norm(cube2matrix(args[0]))
  
          if 'verbose' in kwargs and kwargs['verbose']:
              print(' - NUCLEAR NORM (X):', cost_val)
  
          return cost_val
code_tokens: def _cost_method ( self , * args , ** kwargs ) : cost_val = self . thresh * nuclear_norm ( cube2matrix ( args [ 0 ] ) ) if 'verbose' in kwargs and kwargs [ 'verbose' ] : print ( ' - NUCLEAR NORM (X):' , cost_val ) return cost_val
short_docstring: Calculate low-rank component of the cost
  This method returns the nuclear norm error of the deconvolved data in
  matrix form
short_docstring_tokens: Calculate low - rank component of the cost This method returns the nuclear norm error of the deconvolved data in matrix form
comment: """Calculate low-rank component of the cost
  
          This method returns the nuclear norm error of the deconvolved data in
          matrix form
  
          Returns
          -------
          float low-rank cost component
  
          """