Question

我正在尝试第一次使用hyperopt。我复制并粘贴了示例示例：

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

但这给了我

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__'

我不太确定此错误消息的含义。

我在做什么错了？

Answer 1

hyperopt当前与NetworkX 2.x不兼容。 The master branch should have the fix，但没有固定的hyperopt版本。

目前，您要么必须从master分支安装hyperopt，要么降级到NetworkX的1.x版本。

如何获得hyperopt教程示例以运行

1 个答案: