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Showing function in leaf nodes when using linear regression #10

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Showing function in leaf nodes when using linear regression #10

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e5c92d4
Update ModelTree.py
vildursn Mar 23, 2020
cbcc8a2
Update ModelTree.py
vildursn Mar 23, 2020
7532991
Update ModelTree.py
vildursn Mar 23, 2020
d730b4b
Update linear_regr.py
vildursn Mar 23, 2020
3019da1
Update logistic_regr.py
vildursn Mar 23, 2020
e624825
Update DT_sklearn_clf.py
vildursn Mar 23, 2020
d96299f
Update DT_sklearn_regr.py
vildursn Mar 23, 2020
4d1af5d
Update NN_regr.py
vildursn Mar 23, 2020
a600df6
Update mean_regr.py
vildursn Mar 23, 2020
3e23303
Update modal_clf.py
vildursn Mar 23, 2020
fbfc5c0
Update svm_regr.py
vildursn Mar 23, 2020
02dee30
Update ModelTree.py
vildursn Mar 23, 2020
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Update ModelTree.py
@vildursn
vildursn authored Mar 23, 2020
commit 7532991cd4cacd8c15e490ad7f37cda77ee12fd4
2 changes: 2 additions & 0 deletions advanced_ML/model_tree/src/ModelTree.py
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Original file line number Diff line number Diff line change
@@ -206,6 +206,8 @@ def build_graphviz_recurse(node, parent_node_index=0, parent_depth=0, edge_label
threshold_str += str(round(params[i],2]))
threshold_str += "*X"+str(i)
threshold_str+="\n"
else:
threshold_str=""

else:
threshold_str = "{} <= {:.1f}\\n".format(feature_names[node['j_feature']], node["threshold"])