get a RecursionError
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Description
working_uamp = umap.UMAP(n_neighbors=5,
n_components=2,
min_dist=0.3,
metric='euclidean')
input_feat = df.as_matrix([df.columns[1:1001]])
embeddings = working_uamp.fit_transform(input_feat)
---------------------------error message ------------------------------
make_tree(data, indices, leaf_size)
105 rng_state)
106 left_node = make_tree(data, left_indices, leaf_size)
--> 107 right_node = make_tree(data, right_indices, leaf_size)
108 node = RandomProjectionTreeNode(indices, False, left_node, right_node)
109 else:
RecursionError: maximum recursion depth exceeded
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
Reproduce the shown Python UMAP snippet and follow the traceback into make_tree, the only entry point identified in the report. Determine why tree construction exceeds the recursion limit; done means the same input completes fit_transform without a RecursionError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100