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First of all thanks a lot for the great posts. I am running the HMMs ones for my thesis in bayesian associative learning, but I keep getting the following error when I run the sampling (for all the notebooks using pymc3):
"Chain 0 failed."
looking at the Multi-State HMM-GE for example, when I run the prior predictive checks I manage to get values for 'P', 'A', and 'S' but if I do it for "states" which goes through the class HMMStatesN I get the following error (which I guess is related):
'HMMStatesN' object has no attribute 'p'
The version I am running are:
/numpy --> 1.19.1
theano --> 1.0.4
/pymc3 --> 3.9.3
Your help would be really appreciated.
Thanks a lot in advance,
Vincenzo
The text was updated successfully, but these errors were encountered:
Dear Helmut,
First of all thanks a lot for the great posts. I am running the HMMs ones for my thesis in bayesian associative learning, but I keep getting the following error when I run the sampling (for all the notebooks using pymc3):
"Chain 0 failed."
looking at the Multi-State HMM-GE for example, when I run the prior predictive checks I manage to get values for 'P', 'A', and 'S' but if I do it for "states" which goes through the class HMMStatesN I get the following error (which I guess is related):
'HMMStatesN' object has no attribute 'p'
The version I am running are:
/numpy --> 1.19.1
theano --> 1.0.4
/pymc3 --> 3.9.3
Your help would be really appreciated.
Thanks a lot in advance,
Vincenzo
The text was updated successfully, but these errors were encountered: