module 'hyperopt.pyll' has no attribute 'base'

[julesangebault]

Hi I'm trying to us Hyperas to optimise my Neural Network but I keep receiving this error message:
module 'hyperopt.pyll' has no attribute 'base'

It comes from that function:

def memo_from_config(self, config):
        memo = {}
        for node in pyll.dfs(self.expr):
            if node.name == "hyperopt_param":
                label = node.arg["label"].obj
                # -- hack because it's not really garbagecollected
                #    this does have the desired effect of crashing the
                #    function if rec_eval actually needs a value that
                #    the the optimization algorithm thought to be unnecessary
                memo[node] = config.get(label, pyll.base.GarbageCollected)
        return memo

Someone has an idea how I can fix it ? my script where I used Hyperas: https://gist.github.com/julesangebault/264359cc037dfe3ceee2d8b36b042869

[rottentomato13]

Hey I had the same issue with you after I downgraded hyperopt to v0.2.5 to avoid the error 'numpy.random.mtrand.RandomState' object has no attribute 'integers' #284. Then I solved it by changing the row 139 of optim.py in hyperas from: rstate=np.random.RandomState(rseed) to rstate=np.random.default_rng(rseed) with hyperopt==0.2.7

Hope it will work for you!