2023-07-12 11:52:06 +00:00
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import numpy as np
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from scipy.stats import norm
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class PreferenceExpectedImprovement:
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2023-07-12 12:34:15 +00:00
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def __init__(self, nr_samples, upper_bound, lower_bound, nr_dims=2):
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self.nr_samples = nr_samples
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self.upper_bound = upper_bound
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self.lower_bound = lower_bound
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self.user_model = None
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self.proposal_model_mean = np.array()
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def initialize(self):
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2023-07-12 11:52:06 +00:00
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pass
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def rejection_sampling(self):
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pass
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def expected_improvement(self):
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pass
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def update_user_preference_model(self):
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pass
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def update_proposal_model(self):
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pass
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