Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

add parametric model from survivalmodels #345

Merged
merged 8 commits into from
Mar 13, 2024
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions DESCRIPTION
Original file line number Diff line number Diff line change
Expand Up @@ -101,7 +101,7 @@ Suggests:
sm,
stats,
survival,
survivalmodels,
survivalmodels (>= 0.1.19),
survivalsvm,
tensorflow (>= 2.0.0),
testthat,
Expand All @@ -122,5 +122,5 @@ Config/testthat/edition: 3
Encoding: UTF-8
NeedsCompilation: no
Roxygen: list(markdown = TRUE, r6 = TRUE)
RoxygenNote: 7.2.3.9000
RoxygenNote: 7.3.1.9000
Config/Needs/website: rmarkdown
1 change: 1 addition & 0 deletions NEWS.md
Original file line number Diff line number Diff line change
@@ -1,5 +1,6 @@
# mlr3extralearners 0.7.1-9000

* Ported `surv.parametric` code to `survivalmodels`, changed `type` parameter to `form` to avoid conflict with survivalmodels's default parameter list
* Fix: Replace hardcoded `VectorDistribution`s from partykit and flexsurv survival learners with survival matrices (`Matdist`) (thanks to @bblodfon)
* Feat: Add `discrete` parameter in `surv.parametric` learner to return `Matdist` survival predictions
* Added method `selected_features()` to CoxBoost survival learners (thanks to @bblodfon)
Expand Down
Loading
Loading