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„AcquistionFunctions/PreferenceExpectedImprovement.py“ ändern

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Niko Feith 2023-07-12 18:40:21 +00:00
parent 859ac5bc8f
commit 3f9b12e7f2
1 changed files with 15 additions and 5 deletions
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AcquistionFunctions/PreferenceExpectedImprovement.py
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@ -12,9 +12,11 @@ class PreferenceExpectedImprovement:
self.upper_bound = upper_bound self.upper_bound = upper_bound
self.lower_bound = lower_bound self.lower_bound = lower_bound
self.initial_variance = 5.0
self.user_model = None self.user_model = None
self.proposal_model_mean = np.array((nr_dims, 1)) self.proposal_model_mean = np.array((nr_dims, 1))
self.proposal_model_covariance = np.diag(np.ones((nr_dims, )) * 5) self.proposal_model_covariance = np.diag(np.ones((nr_dims, )) * self.initial_variance)
self.rng = np.random.default_rng(seed=seed) self.rng = np.random.default_rng(seed=seed)
@ -40,11 +42,19 @@ class PreferenceExpectedImprovement:
def expected_improvement(self): def expected_improvement(self):
pass pass
def update_user_preference_model(self): def update_user_preference_model(self, preferred_input, preference_array):
pass # Update mean to reflect preferred input
self.user_model_mean = preferred_input
def update_proposal_model(self): initial_variance = np.ones((self.nr_dims, )) * self.initial_variance
pass reduced_variance = initial_variance / 10.0
variances = np.where(preference_array, reduced_variance, initial_variance)
self.user_model_covariance = np.diag(variances)
def update_proposal_model(self, alpha=0.5):
# Update proposal model to be a weighted average of the current proposal model and the user model
self.proposal_model_mean = alpha * self.proposal_model_mean + (1 - alpha) * self.user_model_mean
self.proposal_model_covariance = alpha * self.proposal_model_covariance + (1 - alpha) * self.user_model_covariance
if __name__ == '__main__': if __name__ == '__main__':