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Pass along arguments of the regression based models in _sa.py and write output to Andata object.
The current idea is to refactor the _regression_model function into a preparation step and call the model.fit function in the public function.
refactor _regression_model to a preparation step
cox_ph
add arguments of liefelines function
write output to anndata object
key_added keyword (work in progress) for new entries
make everything after adata, duration_col keyword only ("*,")
weibull_aft
add arguments of liefelines function
write output to anndata object
key_added keyword (work in progress) for new entries
make everything after adata, duration_col keyword only ("*,")
log_logistic_aft
add arguments of liefelines function
write output to anndata object
key_added keyword (work in progress) for new entries
make everything after adata, duration_col keyword only ("*,")
The text was updated successfully, but these errors were encountered:
Suggest to have everything after everything after adata, duration_col, event_col as keyword only, as we have this pattern now already for kaplan_meier and its still simple enough
Description of feature
Pass along arguments of the regression based models in _sa.py and write output to Andata object.
The current idea is to refactor the _regression_model function into a preparation step and call the model.fit function in the public function.
cox_ph
weibull_aft
log_logistic_aft
The text was updated successfully, but these errors were encountered: