Comments (6)
I would be willing to implement a first pass at this.
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That sounds like a very sensible thing to do. I am not really an expert on the best way to do that -- ideally I want to be compatible with both script usage, and usage inside Jupyter and look good in both. I would welcome suggestions on how best to do that.
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You can use standard python logger, example from gensim: https://github.com/RaRe-Technologies/gensim/blob/develop/gensim/models/ldamodel.py#L652
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Thanks, that looks like the sort of thing I need! I'll see if I can get something like that integrated soon.
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That would be greatly appreciated! Pull requests more than welcome.
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Resolved.
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Related Issues (20)
- Implementation of sciki-learn's get_feature_names_out() API is not correct
- Is 'n_training_epochs' working for parameteric UMAP?
- visualize video data
- How to combine UMAP models in new data?
- Edit instructions to make them compatible with zsh
- Empty API page on UMAP API Guide? HOT 1
- PCA diagnostic error HOT 2
- Speed inquries HOT 2
- UMAP crashes when torch also imported before first run HOT 2
- Unable to pickle trained UMAP instance
- Reducing Model Size for UMAP on Large Datasets HOT 2
- umap.UMAP accepts strings as n_neighbors and min_dist, causing later failures
- Optimal dimensions
- RunUMAP Failing HOT 1
- Semi-deterministic output even though randon_state is set
- TypeError: Dispatcher._rebuild() got an unexpected keyword argument 'impl_kind' HOT 1
- illegal hardware instruction python HOT 2
- Transform new input with composite model HOT 1
- Inquiry on Utilizing UMAP for Text Similarity and Clustering HOT 4
- No clear documentation of default parameter values HOT 1
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