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.
from umap.
You can use standard python logger, example from gensim: https://github.com/RaRe-Technologies/gensim/blob/develop/gensim/models/ldamodel.py#L652
from umap.
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.
from umap.
Resolved.
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Related Issues (20)
- When I run import umap, it takes a long time, and then the program exits abnormally without any error messages HOT 1
- Failed to save a trained Parametric UMAP model ()
- Interactive plot argument: tool - 'NoneType' object is not iterable
- auto_reduce_topic throws an error when all documents are outliers
- `tbb` optional requirement should be configurable HOT 4
- Python kernel unresponsive on using umap.UMAP().fit_transform()
- Numpy 1.24 removes long, causes import error
- No module named 'pkg_resources' HOT 2
- connectivity plot values not comparable with UMAP transform output
- Penguins example SSL error
- ZeroDivisonError while running update with new data
- No module named importlib HOT 2
- When using umap fit, an error occurred suddenly: Intel MKL ERROR: Parameter 6 was incorrect on entry to DLASWP.
- scipy.sparse._csparsetools.lil_get_lengths Error Running UMAP
- Not able to work with old embedder object created using python 3.8 HOT 1
- Setting a random state still leads to stochastic results
- 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?
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