我第一次尝试使用hyperopt。我复制并粘贴了教程示例：

from hyperopt import fmin, tpe, hpbest = fmin(fn=lambda x: x ** 2,    space=hp.uniform('x', -10, 10),    algo=tpe.suggest,    max_evals=100)print best

但这给我带来了以下错误：

TypeError                                 Traceback (most recent call last)<ipython-input-1-c6ddf657bb46> in <module>()      3     space=hp.uniform('x', -10, 10),      4     algo=tpe.suggest,----> 5     max_evals=100)      6 print best/home/user/.local/lib/python2.7/site-packages/hyperopt/fmin.pyc in fmin(fn, space, algo, max_evals, trials, rstate, allow_trials_fmin, pass_expr_memo_ctrl, catch_eval_exceptions, verbose, return_argmin)    312     313     domain = base.Domain(fn, space,--> 314                          pass_expr_memo_ctrl=pass_expr_memo_ctrl)    315     316     rval = FMinIter(algo, domain, trials, max_evals=max_evals,/home/user/.local/lib/python2.7/site-packages/hyperopt/base.pyc in __init__(self, fn, expr, workdir, pass_expr_memo_ctrl, name, loss_target)    784         before = pyll.dfs(self.expr)    785         # -- raises exception if expr contains cycles--> 786         pyll.toposort(self.expr)    787         vh = self.vh = VectorizeHelper(self.expr, self.s_new_ids)    788         # -- raises exception if v_expr contains cycles/home/user/.local/lib/python2.7/site-packages/hyperopt/pyll/base.pyc in toposort(expr)    713         G.add_edges_from([(n_in, node) for n_in in node.inputs()])    714     order = nx.topological_sort(G)--> 715     assert order[-1] == expr    716     return order    717 TypeError: 'generator' object has no attribute '__getitem__'

我不是很确定这个错误信息的含义。

我做错了什么？

回答：

hyperopt目前与NetworkX 2.x不兼容。主分支应该已经修复了这个问题，但还没有发布修复的hyperopt版本。

目前，你要么从主分支安装hyperopt，要么降级到NetworkX的1.x版本。