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The order of operations when using all singular values is currently sqrt(trace(T'T)) - note this is not the case when using topK.
Equation (10) in Andrew's original paper due to notation is slightl…
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Perhaps the biggest open question in our project thus far is how to deal with classical control flow. When branches are introduced to a program via e.g. `if_then` statements in pyQuil, we would like t…
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for the diffusion map, by default `α::Real=0.0` and this code [here](https://github.com/wildart/ManifoldLearning.jl/blob/master/src/diffmaps.jl#L102-L105) to normalize the kernel matrix is not called.…
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At the moment it's a table with a spatial index. Ie, each point is a row in the table, and columns are point attributes, which are shared by all points. The spatial index is a KDTree by default.
Ho…
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I've been working on an alternative SVD implementation based on https://scicomp.stackexchange.com/questions/8899/robust-algorithm-for-2-times-2-svd#answer-28506 which includes the initial rotation. Th…
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This thread will collect examples showcasing numpy and scipy's linear algebra capabilities.
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There is some discussion around this in #94 .
Currently we only support LUP decomposition for non-singular matrices. This is an unnecessary restriction which we should aim to remove in the future.
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Is there an example in tapkee to do the following?
a.) Load a data file from a text file
b.) Call a dimension reduction method
c.) Output the mapped data back to a text file..
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We're seeing a number of failing tests in the numpy test suite on ARM neoverse_v1 in:
- https://github.com/EESSI/software-layer/pull/306
```
=========================== short test summary info ====…
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NumPy's [`linalg`]( https://docs.scipy.org/doc/numpy/reference/routines.linalg.html ) includes a variety of eigenvalue and eigenvector functions (e.g. [`eig`, `eigh`, `eigvals`, `eigvalsh`]( https://d…