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update log_grow_ratio: change sigma_mu to var_mu #58

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update log_grow_ratio: change sigma_mu to var_mu #58

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8 changes: 4 additions & 4 deletions bartpy/samplers/unconstrainedtree/likihoodratio.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,16 +17,16 @@ def log_grow_ratio(combined_node: LeafNode, left_node: LeafNode, right_node: Lea
n_l = left_node.data.X.n_obsv
n_r = right_node.data.X.n_obsv

first_term = (var * (var + n * sigma_mu)) / ((var + n_l * var_mu) * (var + n_r * var_mu))
first_term = (var * (var + n * var_mu)) / ((var + n_l * var_mu) * (var + n_r * var_mu))
first_term = np.log(np.sqrt(first_term))

combined_y_sum = combined_node.data.y.summed_y()
left_y_sum = left_node.data.y.summed_y()
right_y_sum = right_node.data.y.summed_y()

left_resp_contribution = np.square(left_y_sum) / (var + n_l * sigma_mu)
right_resp_contribution = np.square(right_y_sum) / (var + n_r * sigma_mu)
combined_resp_contribution = np.square(combined_y_sum) / (var + n * sigma_mu)
left_resp_contribution = np.square(left_y_sum) / (var + n_l * var_mu)
right_resp_contribution = np.square(right_y_sum) / (var + n_r * var_mu)
combined_resp_contribution = np.square(combined_y_sum) / (var + n * var_mu)

resp_contribution = left_resp_contribution + right_resp_contribution - combined_resp_contribution

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