Comments (1)
vnmabus
commented on June 6, 2024
1
We are working in #536 on a structure to deal with this kind of data. The basic implementation is almost finished and will be merged shortly to the develop branch. However, for that kind of data many basic operations, such as taking the mean, are not well defined. Thus, we want to provide also tools to convert this kind of data to other representations (basis and dense grid), that are better supported.
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Related Issues (20)
- Change ddof argument to correction in var and cov
- Review and refactor hat matrix code
- AttributeError: SmoothingParameterSearch object has no attribute param_name HOT 7
- Default correction=0 for cov, var
- Add infrastructure for performance/benchmark tests
- Shifting domain
- `FDataGrid.copy` argument `sample _names` default behaviour HOT 2
- Expose the complete API of `AgglomerativeClustering`
- `hat_matrix_` not available for BasisSmoother
- Change covariance function and smoothing kernel nomenclature
- Make squared l2 distance? HOT 1
- Multivariate FPCA not working HOT 1
- fda_kmeans.fit_predict(X) HOT 1
- Default `random_state` for `KMeans` and `FuzzyCMeans` should be `None`
- TypeError: 'ABCMeta' object is not subscriptable HOT 1
- Add explicit validation in scoring functions
- Operations between FData objects and other callables
- Scores for `FDataIrregular` objects HOT 2
- FPCA on FDataIrregular HOT 5
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