def _componentwise_distance(self, dx, opt=0, theta=None, return_derivative=False): if opt == 0: # Kriging step d = componentwise_distance( dx, self.options["corr"], self.nx, theta=theta, return_derivative=return_derivative, ) else: # KPLS step d = componentwise_distance_PLS( dx, self.options["corr"], self.options["n_comp"], self.coeff_pls, theta=theta, return_derivative=return_derivative, ) return d
def _componentwise_distance(self,dx,opt=0): if opt == 0: # Kriging step d = componentwise_distance(dx,self.options['corr'],self.nx) else: # KPLS step d = componentwise_distance_PLS(dx,self.options['corr'], self.options['n_comp'],self.coeff_pls) return d
def _componentwise_distance(self, dx, opt=0, theta=None, return_derivative=False): d = componentwise_distance_PLS( dx, self.options["corr"], self.options["n_comp"], self.coeff_pls, theta=theta, return_derivative=return_derivative, ) return d
def _componentwise_distance(self, dx, opt=0): d = componentwise_distance_PLS(dx, self.options['corr'].__name__, self.options['n_comp'], self.coeff_pls) return d
def _componentwise_distance(self, dx, opt=0): d = componentwise_distance_PLS( dx, self.options["corr"], self.options["n_comp"], self.coeff_pls ) return d
def _componentwise_distance(self, dx, opt=0): d = componentwise_distance_PLS(dx, self.corr, self.n_comp, self.coeff_pls) return d