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improve the efficiency of tree leaf contribution calculation #9

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merged 1 commit into from May 15, 2018
Merged

improve the efficiency of tree leaf contribution calculation #9

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13 changes: 9 additions & 4 deletions treeinterpreter/treeinterpreter.py
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Expand Up @@ -91,8 +91,10 @@ def _predict_tree(model, X, joint_contribution=False):
return direct_prediction, biases, contributions

else:

for row, leaf in enumerate(leaves):
unique_leaves = np.unique(leaves)
unique_contributions = {}

for row, leaf in enumerate(unique_leaves):
for path in paths:
if leaf == path[-1]:
break
Expand All @@ -103,8 +105,11 @@ def _predict_tree(model, X, joint_contribution=False):
contrib = values_list[path[i+1]] - \
values_list[path[i]]
contribs[feature_index[path[i]]] += contrib
contributions.append(contribs)

unique_contributions[leaf] = contribs

for row, leaf in enumerate(leaves):
contributions.append(unique_contributions[leaf])

return direct_prediction, biases, np.array(contributions)


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