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Pre-filter out the noisy, high order products of dim pixels so we can greatly reduce the dimensions of the PLD design matrix.
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The jupyter kernel dies when I run dimension_reduction function with ~200,000 cells.
I am running stream==1.0.0 now. Is there any suggestion on how to run it or if I can skip this step and use the s…
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Right now there is a distinction between `feature-extraction` and `feature-extraction-model` (curious on the distinction, I think I get it: one is the general method, the other one is a model that re…
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🔬 *This is an experiment in doing radically open research. I plan to post all my work on this openly as I do it, tracking it in this issue. I'd love for people to comment, or better yet collaborate! *…
colah updated
5 years ago
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Some more dimensionality reduction algorithms might be interesting for exploring other visualisations:
- [ ] Diffusion maps: might be interesting since used in other developmental biology projects.…
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rasbt updated
4 years ago
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I did not find any predict method in AAE which will predict the data according to the encoded dimension. Will you please explain how can I use this as a dimensionality reduction?
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### Features Reduction
It would be great if dimensionality reduction API could be added to ML.NET. This will be a major advantage in shortening training time.