ValueError: Input contains NaN.

[chenyujiang11]

I encountered this error when I was adding text. Hope to get a solution to deal with this error.Thank you very much. Traceback (most recent call last): File "/home/jyc23/raptor-master/demo/newdemo.py", line 123, in RA.add_documents(text) File "/home/jyc23/raptor-master/raptor/RetrievalAugmentation.py", line 217, in add_documents self.tree = self.tree_builder.build_from_text(text=docs) File "/home/jyc23/raptor-master/raptor/tree_builder.py", line 280, in build_from_text root_nodes = self.construct_tree(all_nodes, all_nodes, layer_to_nodes) File "/home/jyc23/raptor-master/raptor/cluster_tree_builder.py", line 102, in construct_tree clusters = self.clustering_algorithm.perform_clustering( File "/home/jyc23/raptor-master/raptor/cluster_utils.py", line 194, in perform_clustering clusters = perform_clustering( File "/home/jyc23/raptor-master/raptor/cluster_utils.py", line 120, in perform_clustering reduced_embeddings_global = global_cluster_embeddings(embeddings, dim) File "/home/jyc23/raptor-master/raptor/cluster_utils.py", line 32, in global_cluster_embeddings reduced_embeddings = umap.UMAP( File "/home/jyc23/miniconda3/envs/py38/lib/python3.8/site-packages/umap/umap_.py", line 2887, in fit_transform self.fit(X, y, force_all_finite) File "/home/jyc23/miniconda3/envs/py38/lib/python3.8/site-packages/umap/umap_.py", line 2354, in fit X = check_array(X, dtype=np.float32, accept_sparse="csr", order="C", force_all_finite=force_all_finite) File "/home/jyc23/miniconda3/envs/py38/lib/python3.8/site-packages/sklearn/utils/validation.py", line 957, in check_array _assert_all_finite( File "/home/jyc23/miniconda3/envs/py38/lib/python3.8/site-packages/sklearn/utils/validation.py", line 122, in _assert_all_finite _assert_all_finite_element_wise( File "/home/jyc23/miniconda3/envs/py38/lib/python3.8/site-packages/sklearn/utils/validation.py", line 171, in _assert_all_finite_element_wise raise ValueError(msg_err) ValueError: Input contains NaN.