ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

[ruchika-67]

Whenever I am trying to run any code from examples or H0_measurement.py , I am getting this error.

"Traceback (most recent call last):
File "gp_example.py", line 28, in
g = gp.GaussianProcess(X, Y, Sigma, cXstar=(xmin, xmax, nstar))
File "/usr/local/lib/python2.7/dist-packages/gapp/gp.py", line 117, in init
if (xmin == None or xmax == None):
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
"

Please let me know how can I debug program in my setup.
Thanks a lot in advance!

[ruchika-67]

When running H0_measurement.py

Traceback (most recent call last):
File "H0_measurement.py", line 35, in
(rec1,theta1) = g1.gp(thetatrain='True')
File "/usr/local/lib/python2.7/dist-packages/gapp/gp.py", line 847, in gp
return(self.fgp(unpack=unpack))
File "/usr/local/lib/python2.7/dist-packages/gapp/gp.py", line 853, in fgp
self.hypertrain()
File "/usr/local/lib/python2.7/dist-packages/gapp/gp.py", line 610, in hypertrain
return(self.fhypertrain())
File "/usr/local/lib/python2.7/dist-packages/gapp/gp.py", line 634, in fhypertrain
messages=8)[0]
File "/usr/lib/python2.7/dist-packages/scipy/optimize/tnc.py", line 275, in fmin_tnc
res = _minimize_tnc(fun, x0, args, jac, bounds, callback=callback, **opts)
File "/usr/lib/python2.7/dist-packages/scipy/optimize/tnc.py", line 409, in _minimize_tnc
xtol, pgtol, rescale, callback)
File "/usr/lib/python2.7/dist-packages/scipy/optimize/tnc.py", line 371, in func_and_grad
f = fun(x, *args)
File "/usr/lib/python2.7/dist-packages/scipy/optimize/optimize.py", line 63, in call
fg = self.fun(x, *args)
File "/usr/local/lib/python2.7/dist-packages/gapp/gp.py", line 632, in logpfunc
return self.grad_nlog_likelihood()
File "/usr/local/lib/python2.7/dist-packages/gapp/gp.py", line 514, in grad_nlog_likelihood
if (self.alpha == None):
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

[Ian-Jhon]

When running H0_measurement.py

Traceback (most recent call last):
File "H0_measurement.py", line 35, in
(rec1,theta1) = g1.gp(thetatrain='True')
File "/usr/local/lib/python2.7/dist-packages/gapp/gp.py", line 847, in gp
return(self.fgp(unpack=unpack))
File "/usr/local/lib/python2.7/dist-packages/gapp/gp.py", line 853, in fgp
self.hypertrain()
File "/usr/local/lib/python2.7/dist-packages/gapp/gp.py", line 610, in hypertrain
return(self.fhypertrain())
File "/usr/local/lib/python2.7/dist-packages/gapp/gp.py", line 634, in fhypertrain
messages=8)[0]
File "/usr/lib/python2.7/dist-packages/scipy/optimize/tnc.py", line 275, in fmin_tnc
res = _minimize_tnc(fun, x0, args, jac, bounds, callback=callback, **opts)
File "/usr/lib/python2.7/dist-packages/scipy/optimize/tnc.py", line 409, in _minimize_tnc
xtol, pgtol, rescale, callback)
File "/usr/lib/python2.7/dist-packages/scipy/optimize/tnc.py", line 371, in func_and_grad
f = fun(x, *args)
File "/usr/lib/python2.7/dist-packages/scipy/optimize/optimize.py", line 63, in call
fg = self.fun(x, *args)
File "/usr/local/lib/python2.7/dist-packages/gapp/gp.py", line 632, in logpfunc
return self.grad_nlog_likelihood()
File "/usr/local/lib/python2.7/dist-packages/gapp/gp.py", line 514, in grad_nlog_likelihood
if (self.alpha == None):
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

Please change if (self.alpha == None): to if (self.alpha == None).all(): in gapp/gp.py and gapp/dgp.py