Recursion Error

[ghost]

I cannot run more than two levels in local machine using Jupyter notebook.
hierarchy = {**total, **state_h} --> works
hierarchy = {**total, **state_h, **store_h} ---> fails with below error

print(sys.getrecursionlimit())
3000

---

RecursionError Traceback (most recent call last)
in
3 df = df.resample("W").sum()
4 clf = HTSRegressor(model='prophet', revision_method='OLS', n_jobs=12)
----> 5 model = clf.fit(df, hierarchy)
6
7 preds = model.predict(steps_ahead=1)

~\Anaconda3\lib\site-packages\hts\core\regressor.py in fit(self, df, nodes, tree, exogenous, root, distributor, disable_progressbar, show_warnings, **fit_kwargs)
194 """
195
--> 196 self.__init_hts(nodes=nodes, df=df, tree=tree, root=root, exogenous=exogenous)
197
198 nodes = make_iterable(self.nodes, prop=None)

~\Anaconda3\lib\site-packages\hts\core\regressor.py in __init_hts(self, nodes, df, tree, root, exogenous)
131 self.nodes = tree
132 else:
--> 133 self.nodes = HierarchyTree.from_nodes(nodes=nodes, df=df, exogenous=exogenous, root=root)
134 self.exogenous = exogenous
135 self.sum_mat = to_sum_mat(self.nodes)

~\Anaconda3\lib\site-packages\hts\hierarchy_init_.py in from_nodes(cls, nodes, df, exogenous, root, top, stack)
176 root=tmp_root,
177 top=top,
--> 178 stack=stack) # pass tmp_root to the function as root
179 return top
180

... last 1 frames repeated, from the frame below ...

~\Anaconda3\lib\site-packages\hts\hierarchy_init_.py in from_nodes(cls, nodes, df, exogenous, root, top, stack)
176 root=tmp_root,
177 top=top,
--> 178 stack=stack) # pass tmp_root to the function as root
179 return top
180

RecursionError: maximum recursion depth exceeded while calling a Python object

[carlomazzaferro]

Would you be able to post sample data for the example you're running? I'd like to reproduce locally to further debug

[aakashparsi]

@selenonel, I have faced a similar issue but increasing the recursion limit solved the problem. Now, I'm wondering is that a good practice to do? I think @carlomazzaferro may have an answer to this.