I have the following model: pOn ~ Beta(alpha, beta) on ~ Bernoulli(pOn) w = [on, (1 - on)] tri_giv_on ~ Bernoulli(p) tri_giv_not_on ~ Bernoulli(q) triangle ~ BernoulliMixture(w, [tri_giv_on, tri_giv_not_on]) I’ve tried to implement it using pymc3 with pymc3.Model() as model: pOn = pymc3.Beta(…

Ok, So, I came up with this. Thanks to your help, I was able to debug my model and make it compile. Please let me know what you think. schema_count = 10 on_count = 3 not_on_count = schema_count - on_count + .0001 on_alphas = [not_on_count, on_count] tri_and_on_count = 3 not_tri_and_on_count = on_…

KeyError Setting Mixture Proportions for Mixture Model

Questions

dmenager May 7, 2019, 4:48am 3

Ah, alright! I’ll switch over to python 3!

Topic		Replies	Views
Is there an example on how to work with generalized mixture models? Questions	15	3593	March 16, 2019
Problem with fitting Multivariate Mixture of Gaussians Questions	6	3561	June 4, 2018
Mixture of multivariate Bernoullis Questions	11	3324	June 13, 2022
Model yeilding no samples Questions	1	405	July 31, 2018
Indexing using a free random variable Questions	26	6452	October 16, 2019

KeyError Setting Mixture Proportions for Mixture Model

Related topics