jeandut
jeandut
Hi ! Currently the default timeout is 100 seconds. For inattentive users the abrupt stop of the computation is surprising and hard to debug. Maybe like 10 minutes (or 600...
When running benchmarks with multiple solvers and the params max_runs set, some solvers will end up producing a much lower number of iterates than max_runs because `check_convergence` makes them exit...
## Related issue No related issue ## Summary ## Notes This PR introduces a change in the signature of the algorithm's `update_from_checkpoint` function in order to ease its use in...
This information is already available from formulaic directly. When `design` is your design matrix, there is ``` design.model_spec.variable_terms ``` and ``` design.model_spec.term_variables ``` to map from variables to formulae terms...
[RFC] Adding rpy2 (and R and deseq2) as test-only dependency.ies to have more flexible end2end tests
**Is your feature request related to a problem? Please describe.** As of now comparison between pydeseq2 and deseq2 necessitates to run deseq2 in R/r2py then save results in csvs in...
As the preprocessing from `run_nnUnet_preprocessing.py` is super RAM intensive and long we need to cache saved features and allow restarts to use previously computed features.
Especially for datasets that require special evaluation functions such as Fed-LIDC and Fed-KITS there is a lack on documentation on which function to use and what it monitors.
One should state more clearly in the docs the fact that FedDataset are regular torch dataset indexed from 0 to n-1. Each dataset's strategy's associated hyper-parameters should be directly accessible...
DummyDataset should be seeded and the structure of the data should be customizable.