sir_inference's Issues
Scatterplot notebook: test_model.compute_averages affects model.initial_states
Notebook Scatterplot_mean_field_dmp uses the model instance two times (for two scatterplot sets) to generate initial_probas
. However, initial state of the model is changed to a random state in the first run because generate_scatterplot
calls compute_averages
which sets the initial states to random.
This might make the two scatterplot sets incomparable (I am not sure about this, haven't fully read through the code, just noticed this inconsistency).
ground_truth argument is missing from the ProximityModel in Test_inference_Maria.ipynb
There's an error in model = ProximityModel(N=N, scale=1.2, mu=0.01, lamb=0.02 ,ground_truth=ground_truth)
as the argument ground_truth
is missing from the ProximityModel
class.
Error Message:
----> model = ProximityModel(N=N, scale=1.2, mu=0.01, lamb=0.02 ,ground_truth=ground_truth)
TypeError: __init__() got an unexpected keyword argument 'ground_truth'
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