experiment = Experiment(1)
experiment.log_code()
# Experiment 1
N = 50
epsilon = .3
simulations = 10000
T = 400
algorithms = [
GeneralCausal(truncate='None'),
ParallelCausal(),
SuccessiveRejects(),
AlphaUCB(2),
ThompsonSampling()
]
m_vals = range(2, N, 2)
regret, models = regret_vs_m(algorithms,
m_vals,
N,
T,
epsilon,
simulations=simulations)
experiment.plot_regret(regret,
m_vals,
"m",
algorithms,
legend_loc="lower right")
experiment.log_state(globals())
"""
from experiment_config import Experiment
e = Experiment(1)
def returnthing():
return 5
v1 = 4
v2 = [1, 2, 3]
x = returnthing()
e.log_state(globals())
del v1
del v2
del x
d = e.read_state(e.state_filename)
#import shelve
#d = {}
#db = shelve.open(e.state_filename)
#for key in db:
#
# value = db[key]
# d[key] = value
# globals()[key] = value