CosmoCoffee

Code: Select all

AttributeError                            Traceback (most recent call last)
<ipython-input-5-700f738677ef> in <cell line: 70>()
     68     "mcmc": {"burn_in": 500, "max_samples": 1000000, "Rminus1_stop": 0.1,"Rminus1_cl_stop": 0.2}}
     69 
---> 70 updated_info, products = run(info)
     71 
     72 gdsamples = MCSamplesFromCobaya(updated_info, products.products()["sample"],ignore_rows=0.3)

2 frames
/usr/local/lib/python3.10/dist-packages/cobaya/samplers/mcmc/mcmc.py in initialize(self)
     94             raise LoggedError(self.log, "No parameters being varied for sampler")
     95         self.log.debug("Initializing")
---> 96         if self.callback_every is None:
     97             self.callback_every = self.learn_every
     98         self._quants_d_units = []

AttributeError: 'MCMC' object has no attribute 'callback_every'

Code: Select all

info = {"likelihood": {"likelihood1": my_likelihood}}

info["params"] = odict([
    ["a", {"prior": {"min": -10, "max": 10},"ref":a,"proposal":0.001}],
    ["b", {"prior": {"min": 0, "max": 20} ,"ref":b, "proposal":0.001}],
    ["c", {"prior": {"min": 0, "max":100},"ref":c,"proposal": 0.01}],
    ["sv", {"prior": {"min": 0, "max": 1},"ref":sv,"proposal":0.0001}]])

info["sampler"] = {
    "mcmc": {"burn_in": 500, "max_samples": 1000000, "Rminus1_stop": 0.1}}

updated_info, products = run(info)
gdsamples = MCSamplesFromCobaya(updated_info, products.products()["sample"],ignore_rows=0.3)
gdplot = gdplt.getSubplotPlotter(width_inch=5)