By default the traces were generated using the following parameters, these correspond to the arguments in the model creation function (found in the github repo scripts/run_on_cluster/run_model_gender.py
).
beta = False
offset_data=0
prior_delay=-1
width_delay_prior=0.1
sigma_incubation=-1.0
median_width_delay=1.0
interval_cps=10.0
f_fem=0.2
uc=True
len=normal
Some traces may correspond to models run on another initial parameter set, these parameters are encoded in the filename of the trace.
beta
Use the beta compartment of our model (see publication for more details)country
The country for which the model was run.offset_data
The offset of the data in days, i.e. shifting of the case data. The priors of the date of games are not affected by this!prior_delay
Mean for the prior for the delay in days.width_delay_prior
Width of the prior for the delay in days.sigma_incubation
Prior width of the mean latent periodinterval_cps
Number of days between proposed change pointsf_fem
Prior for the gender imbalance of soccer fan participation.len
Duration of the model, i.e. how much data is considered.uc
If change points are allowed during the uefa championshipWe always save the traces as pickle objects! If you want to use them you should strictly use the same package versions as we did for our analyses, otherwise you may not be able to load the trace and model combos.
import pickle
def load(fstr):
with open(fstr, "rb") as f:
return pickle.load(f)
model, trace = load("desired_file.pkl")