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Input contains NaN, infinity or a value too large for ('float64') #105
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I also tried running locally, although with a different version and environment Octis: 1.10.2 And I got this full traceback, and by inspection I got a value of -inf for f_val
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It was related to a topic that was absent in the dataset --- due to some bug, I had a vocabulary with words that were not in the primary dataset. |
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Description
I am trying to run the Google Colab example provided in the repo README. I only changed the dataset, to load a custom dataset using the
load_custom_dataset_from_folder()
in the .tsv format. I executed the algorithm with a small vocab (39 words) without problems, but with a "big" vocabulary (7894 words), I got an error from sklearn.utils.validation.py as follows:Also, note that my dataset is split into train (70%), val (10%) and test (20%).
What I Did
The text was updated successfully, but these errors were encountered: