free variable 'gfk' referenced before assignment in enclosing scope

[abhiramsingh0]

---

NameError Traceback (most recent call last)
in ()
----> 1 calAcc()

in calAcc()
24
25 rvcObj = RVC()
---> 26 rvcFit = rvcObj.fit(featuresTrain, y_real[trainI])

/home/gnl/TF/local/lib/python2.7/site-packages/skrvm/rvm.pyc in fit(self, X, y)
281 self.multi_ = None
282 self.multi_ = OneVsOneClassifier(self)
--> 283 self.multi_.fit(X, y)
284 return self
285

/home/gnl/TF/local/lib/python2.7/site-packages/sklearn/multiclass.pyc in fit(self, X, y)
502 delayed(fit_ovo_binary)
503 (self.estimator, X, y, self.classes[i], self.classes_[j])
--> 504 for i in range(n_classes) for j in range(i + 1, n_classes)))))
505
506 self.estimators_ = estimators_indices[0]

/home/gnl/TF/local/lib/python2.7/site-packages/sklearn/externals/joblib/parallel.pyc in call(self, iterable)
777 # was dispatched. In particular this covers the edge
778 # case of Parallel used with an exhausted iterator.
--> 779 while self.dispatch_one_batch(iterator):
780 self._iterating = True
781 else:

/home/gnl/TF/local/lib/python2.7/site-packages/sklearn/externals/joblib/parallel.pyc in dispatch_one_batch(self, iterator)
623 return False
624 else:
--> 625 self._dispatch(tasks)
626 return True
627

/home/gnl/TF/local/lib/python2.7/site-packages/sklearn/externals/joblib/parallel.pyc in _dispatch(self, batch)
586 dispatch_timestamp = time.time()
587 cb = BatchCompletionCallBack(dispatch_timestamp, len(batch), self)
--> 588 job = self._backend.apply_async(batch, callback=cb)
589 self._jobs.append(job)
590

/home/gnl/TF/local/lib/python2.7/site-packages/sklearn/externals/joblib/_parallel_backends.pyc in apply_async(self, func, callback)
109 def apply_async(self, func, callback=None):
110 """Schedule a func to be run"""
--> 111 result = ImmediateResult(func)
112 if callback:
113 callback(result)

/home/gnl/TF/local/lib/python2.7/site-packages/sklearn/externals/joblib/_parallel_backends.pyc in init(self, batch)
330 # Don't delay the application, to avoid keeping the input
331 # arguments in memory
--> 332 self.results = batch()
333
334 def get(self):

/home/gnl/TF/local/lib/python2.7/site-packages/sklearn/externals/joblib/parallel.pyc in call(self)
129
130 def call(self):
--> 131 return [func(*args, **kwargs) for func, args, kwargs in self.items]
132
133 def len(self):

/home/gnl/TF/local/lib/python2.7/site-packages/sklearn/multiclass.pyc in _fit_ovo_binary(estimator, X, y, i, j)
421 return _fit_binary(estimator,
422 _safe_split(estimator, X, None, indices=indcond)[0],
--> 423 y_binary, classes=[i, j]), indcond
424
425

/home/gnl/TF/local/lib/python2.7/site-packages/sklearn/multiclass.pyc in _fit_binary(estimator, X, y, classes)
78 else:
79 estimator = clone(estimator)
---> 80 estimator.fit(X, y)
81 return estimator
82

/home/gnl/TF/local/lib/python2.7/site-packages/skrvm/rvm.pyc in fit(self, X, y)
277 self.t = np.zeros(y.shape)
278 self.t[y == self.classes_[1]] = 1
--> 279 return super(RVC, self).fit(X, self.t)
280 else:
281 self.multi_ = None

/home/gnl/TF/local/lib/python2.7/site-packages/skrvm/rvm.pyc in fit(self, X, y)
148
149 for i in range(self.n_iter):
--> 150 self.posterior()
151
152 self.gamma = 1 - self.alpha*np.diag(self.sigma_)

/home/gnl/TF/local/lib/python2.7/site-packages/skrvm/rvm.pyc in _posterior(self)
258 jac=True,
259 options={
--> 260 'maxiter': self.n_iter_posterior
261 }
262 )

/home/gnl/TF/local/lib/python2.7/site-packages/scipy/optimize/_minimize.pyc in minimize(fun, x0, args, method, jac, hess, hessp, bounds, constraints, tol, callback, options)
482 elif meth == 'newton-cg':
483 return _minimize_newtoncg(fun, x0, args, jac, hess, hessp, callback,
--> 484 **options)
485 elif meth == 'l-bfgs-b':
486 return _minimize_lbfgsb(fun, x0, args, jac, bounds,

/home/gnl/TF/local/lib/python2.7/site-packages/scipy/optimize/optimize.pyc in _minimize_newtoncg(fun, x0, args, jac, hess, hessp, callback, xtol, eps, maxiter, disp, return_all, **unknown_options)
1597 msg = ("Warning: CG iterations didn't converge. The Hessian is not "
1598 "positive definite.")
-> 1599 return terminate(3, msg)
1600
1601 pk = xsupi # search direction is solution to system.

/home/gnl/TF/local/lib/python2.7/site-packages/scipy/optimize/optimize.pyc in terminate(warnflag, msg)
1517 print(" Hessian evaluations: %d" % hcalls)
1518 fval = old_fval
-> 1519 result = OptimizeResult(fun=fval, jac=gfk, nfev=fcalls[0],
1520 njev=gcalls[0], nhev=hcalls, status=warnflag,
1521 success=(warnflag == 0), message=msg, x=xk,

NameError: free variable 'gfk' referenced before assignment in enclosing scope.

Please fix this issue.