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TensorFlow's Visualization Toolkit
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parameters of UMAP #2432

Open wushixong opened 5 years ago

wushixong commented 5 years ago

I have tried the marvelous Embedding Projector in https://projector.tensorflow.org, and I found that UMAP can help me a lot. So I try to use the UMAP Python package，but I can not get the same visualization result even I set the same parameters as Embedding Projector. As far as I know, there are other several parameters of UMAP which are not be shown in Embedding Projector website. Can I get the other parameters when I run UMAP in Embedding Projector?

nfelt commented 5 years ago

Thanks for your question. I believe @cannoneyed would be the best person to answer this question since he worked on the UMAP support, but he's out right now so it may take a while to get to this.

cannoneyed commented 5 years ago

I'll be back on Monday, so I can try to schedule some time to add support for the additional hyperparameters (which are all supported in UMAP, just not in the embedding projector).

wushixong commented 5 years ago

Thanks for your question. I believe @cannoneyed would be the best person to answer this question since he worked on the UMAP support, but he's out right now so it may take a while to get to this.

wow, thanks for your prompt attention to the matter.

wushixong commented 5 years ago

I'll be back on Monday, so I can try to schedule some time to add support for the additional hyperparameters (which are all supported in UMAP, just not in the embedding projector).

good to hear! waiting for good news

Eichhof commented 1 year ago

@cannoneyed What are the other values used for UMAP in the Tensorboard embedding projector? This would be helpful to reproduce the projections with other libraries. In particular, I'm interested in the following values:

learning_rate init (How to initialize the low dimensional embedding) min_dist spread set_op_mix_ratio local_connectivity repulsion_strength negative_sample_rate