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Filed for @nirik
In FAS2 we have a bunch of history around cla/fpca handling.
Originally we had cla groups for each group that needed to agree to the contributor license agreement. Joining any…
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Hello,
I am trying to use MFPCA, but the code seems to run forever ...
- I have 20 curves
- Each curve has 3000 points each
- number of principal components = 2 for each output
```
from …
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first needs good comments of existing code. @fabian-s @jeff-goldsmith
also needs informed decision of what we actually want to keep.
one good default for regular, one good default for irregula…
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### Motivation
I'm trying to apply FPCA on functional data, where the function's input output dimension is R^3 -> R.
Basically following this: https://fda.readthedocs.io/en/stable/auto_examples/pl…
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Currently we have fpca.sc, fpca.face and fpca.ssvd. Do we want a wrapper function that calls one of these three (along with utility functions for common parts, to avoid duplication), or one mega-funct…
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### Bug description summary
ImportError: cannot import name '_evaluate_grid' from 'skfda._utils' (C:\Users\abcd\anaconda3\lib\site-packages\skfda\_utils\__init__.py)
I have already manually uninst…
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### Bug description summary
FPCA does not seem to work when working with multivariate functional data.
### Code to reproduce the bug
```Python
import numpy as np
import skfda
from skfda.…
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It would be good to address the non-uniform scaling of eigen functions across functions implementing methods for FPCA. Right now, fpca.sc() scales functions to integrate to 1, while other functions tr…
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right now `predict.fpca` returns a `tfb` object (coefs from scores, basis from fpca). makes a lot of sense, but sometimes people just want the scores and not the fitted values. can we handle that with…
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I've begun to think about the FPCR implementation for `pfr()`. Phil or Rayman, this is your stuff so you can of course overrule anything that I suggest.
I'm thinking of having FPC terms specified usi…