Description
Hey Hyperopt team!
I've been facing an intermittent issue when fitting the HyperoptEstimator to my data.
I've changed nothing in code but re-running the same code when restarting my kernel results in this error:
~\anaconda3\lib\site-packages\hyperopt\base.py in best_trial(self)
620 ]
621 if not candidates:
--> 622 raise AllTrialsFailed
623 losses = [float(t["result"]["loss"]) for t in candidates]
624 if len(losses) == 0:
AllTrialsFailed:
Is there any reason why this is the case? I have tried fitting with the nonscaled version of my data and it sometimes allows it to run.
But I have been stuck for hours trying to make it work, your help is much appreciated! Thank you!
P.s. quite literally after failing for 20 + times, after i clicked post here the code suddenly started working again.
And yes it intermittently works and fails accordingly..