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python.uq.refinement.RefinementStrategy.AnchoredMeanSquaredOptRanking Class Reference
Inheritance diagram for python.uq.refinement.RefinementStrategy.AnchoredMeanSquaredOptRanking:
python.uq.refinement.RefinementStrategy.Ranking

Public Member Functions

def __init__ (self)
 
def update (self, grid, v, gpi, params, args, kws)
 
- Public Member Functions inherited from python.uq.refinement.RefinementStrategy.Ranking
def __init__ (self)
 
def getKnowledgeType (self)
 
def rank (self, grid, gp, alphas, params, t=0, args, kws)
 
def update (self, grid, v, gpi, params)
 

Constructor & Destructor Documentation

◆ __init__()

def python.uq.refinement.RefinementStrategy.AnchoredMeanSquaredOptRanking.__init__ (   self)

References python.uq.refinement.RefinementStrategy.Ranking._dtype.

Member Function Documentation

◆ update()

def python.uq.refinement.RefinementStrategy.AnchoredMeanSquaredOptRanking.update (   self,
  grid,
  v,
  gpi,
  params,
  args,
  kws 
)
Compute ranking for variance estimation

\argmax_{i \in \A} |w_i| f(x_i)

@param grid: Grid grid
@param v: numpy array coefficients
@param admissibleSet: AdmissibleSet

The documentation for this class was generated from the following file: