Nicolas Fernandez

Yes, it is possible but using the latest version of Widgets I've only been able to do this using nbconvert on the terminal "jupyter nbconvert --to html my-notebook.ipynb"

Hi @TalWac you have to run the nbconvert command in a terminal outside of Jupyter. They may have also fixed this functionality in Jupyter Lab 3 - I'll check and...

Ok, I forgot if you are running the normal Jupyter notebook (not Lab) you will also need to tell Jupyter to save the widget state after the notebook has run...

Hi @TalWac that is odd. Another option is to use papermill https://papermill.readthedocs.io/en/latest/ to run your notebook. This approach has worked well for me in the past and should automatically embed...

Looking into hdbscan, which is fast for medium dimensional space (50-100 dimensions) but slow for high dimensional space (>1000 dimensions) https://github.com/lmcinnes/umap/issues/25 UMAP as a pre-processing step for HDBSCAN https://umap-learn.readthedocs.io/en/latest/clustering.html Louvain...

We requested support here: https://github.com/googlecolab/colabtools/issues/60#issuecomment-583058735

@ranikay this example shows how to get the Clustergrammer2 widget working on Google Colab https://colab.research.google.com/drive/11M6RkGuh-5zR9OVXgeDNKKHm440-DgTA Thanks @blois for your work getting Widgets supported on Google Colab :)

Hi @ltsypin, yes there is a new method for setting global category colors - you can see an example of it here on this Google [Colab notebook](https://colab.research.google.com/drive/1OxJRO19cPsDW0JGAh4tLJjgOl7EMxQbP#scrollTo=DFvS2CZjNha6&line=4&uniqifier=1) ``` net.set_global_cat_colors(df_colors) ```...

Thanks for the feedback @lmcinnes! I want to experiment with this for large datasets (~20,000 samples with ~200 dimensions) and see if the GPU implementation speeds things up further (https://medium.com/the-artificial-impostor/umap-on-rapids-15x-speedup-f4eabfbdd978).

Hi @ltsypin, thanks for pointing this out. We are actually not using this `dist_type` variable in the `her.linkage` method since we are passing in a pre-calculated distance matrix, but we...