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
