29 lines
703 B
Python
29 lines
703 B
Python
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from plot import qtplot
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import json
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import math as ma
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import numpy as np
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path='/cloud/Public/_data/neuropercolation/4lay/cons=dimtimesdimby3_steps=100100/dim=09_cons=27/batch=0/'
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eps_sp=np.linspace(0.01,0.2,20)
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eps_ep=eps_sp
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extremes=10000
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strength=100000
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savepath=path+f'extremes={extremes}_bootstrength={strength}/'
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dt=250
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boots=[]
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for eps in eps_ep:
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eps=round(eps,3)
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with open(savepath+f'eps={eps:.3f}_dt={dt}_simpbootstrap.txt','r') as f:
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confs=list(zip(*json.load(f)))[1]
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ps=[1-conf for conf in confs]
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boots.append(ps)
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qtplot(f"Bootstrapping p-value for noise level {eps}",[range(dt+1)],boots[-1:],[f''],y_tag='p-value',y_log=False)
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