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[ENH] GPFA with continuous data #539
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[ENH] GPFA with continuous data #539
Moritz-Alexander-Kern
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NeuralEnsemble:master
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INM-6:enh/GPFA_continous_data
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* Allow seqs to be passed directly to gpfa fit * Small fix to error checking * Typo * another typo * fixed formatting for pep8 * fixed docstring of transform after introducing error while resolving merge conflicts * added two unit-test * add more unit-tests * remove blank line --------- Co-authored-by: Jonah Pearl <[email protected]>
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ENH/ GPFA with continous data
ENH/ GPFA with continuous data
Feb 10, 2023
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ENH/ GPFA with continuous data
[ENH] GPFA with continuous data
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This pull request extends the functionality of the GPFA classes methods to accept continuous data.
The changes are done to the methods
fit
,transform
andfit_transform
, which now accept continuous data.Unit tests and docstrings have been written to ensure that the changes are properly implemented.
This PR seeks a continuation of the previously started development in PR #507.
The current input for continuous data to
fit
,transform
andfit_transform
is a numpy recarrayTodo
Co-authored-by: Jonah Pearl [email protected]