Comments (1)
It should be possible. The _align_axes(X, t, axis)
and _restore_axes(dX, axis, flat)
routines in differentiation.py
can likely be adapted in a way that would enable the derived dimension to be any axis.
In the current version, the indices are arranged into batch x time
, and the default behavior of derivative is to loop over each batch dimension. This doesn't leverage vectorization or multithreading, so it's not really performant. But, a possible minimal change would be to reshape internally into batch x time
and then back into the original shape after the computation.
from derivative.
Related Issues (18)
- Add utilities for periodic boundary conditions HOT 2
- doc requirements in [tool.poetry.dev-dependencies]? HOT 5
- Pass or store smoothed coordinate values HOT 3
- Derivatives of empty arrays? HOT 1
- Numerical tests don't assert; also is there a better way of testing? HOT 1
- Create functional style api HOT 1
- Support for multidimensional data HOT 1
- Move away from poetry? HOT 2
- Git tag version releases HOT 3
- Wavelet derivatives
- Run Jupyter notebooks in documentation HOT 4
- Hyperparamter optimization plugins? HOT 2
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- [Feature] Issues templates
- axis default parameter HOT 2
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from derivative.