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Hello, I would like to know what "adata.obsp['distances']" means. Do the distances include both spatial and expression spaces?
I want to calculate some intrinsic measures for the clustering, such as …
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### Is your feature request related to a problem? Please describe.
I have been working with unsupervised learning for a while and one part of my research was investigating different distance measur…
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Here're some notes from Friday's meeting with James alongside my thoughts.
James recommended two things:
1. Scrape Amazon for the list of "products similar to this" to create a distance metric b…
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https://doi.org/10.1021/acscentsci.6b00367 (preprint https://arxiv.org/abs/1611.03199)
> Recent advances in machine learning have made significant contributions to drug discovery. Deep neural netwo…
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Hi,
I want to test the model but i can't see any test script??
How have you tested the model?
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Hi @dllussier!
My team and I have come up with a variety of classifier models from [this article](https://github.com/orgs/brainhack-school2020/teams/url) and I was wondering if you had some suggesti…
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The active learning method that `dedupe` implements to learn a minimal set of predicates to block records can be very useful, particularly when the user has little prior knowledge on an appropriate se…
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#### Describe the bug
When calling the `locally_linear_embedding()` method with a _NearestNeighbors_ instance as its `X` parameter, the euclidean distance is always used in the standard version…
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I apologize in advance if this is a nonsensical issue. I fear that it might be as nobody else seems to have an issue with it. Regardless, I'll ask just in case.
I am working with the MultiSimilarit…
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https://towardsdatascience.com/deep-metric-learning-76fa0a5a415f
Similar to k-nearest neighbor:
1. Train an encoder to encode raw data into a feature space.
2. Data points belonging to the same/d…