atlas news
    
Sebastian Pölsterl
22  août     21h55
scikit-survival 0.25.0 with improved documentation released
   I am pleased to announce that scikit-survival 0.25.0 has been released. This release adds support for scikit-learn 1.7, in addition to version 1.6. However, the most significant changes in this release affect the documentation. The API documentation has been completely overhauled to improve clarity...
26  février     21h26
scikit-survival 0.24.0 released
   It’s my pleasure to announce the release of scikit-survival 0.24.0. A highlight of this release the addition of cumulative incidence competing risks() which implements a non-parameteric estimator of the cumulative incidence function in the presence of competing risks. In addition, the release adds...
30  juin     11h36
scikit-survival 0.23.0 released
   I am pleased to announce the release of scikit-survival 0.23.0. This release adds support for scikit-learn 1.4 and 1.5, which includes missing value support for RandomSurvivalForest. For more details on missing values support, see the section in the release announcement for 0.23.0. Moreover, this...
02  octobre     20h39
scikit-survival 0.22.0 released
   I am pleased to announce the release of scikit-survival 0.22.0. The highlights for this release include Compatibility with scikit-learn 1.3. Missing value support for SurvivalTree. A reduced memory mode for RandomSurvivalForest, ExtraSurvivalTrees, and SurvivalTree. Support for predict cumulative...
11  juin     16h43
scikit-survival 0.21.0 released
   Today marks the release of scikit-survival 0.21.0. This release features some exciting new features and significant performance improvements: Pointwise confidence intervals for the Kaplan-Meier estimator. Early stopping in GradientBoostingSurvivalAnalysis. Improved performance of fitting...
15  août     15h18
scikit-survival 0.18.0 released
   I’m pleased to announce the release of scikit-survival 0.18.0, which adds support for scikit-learn 1.1. In addition, this release adds the return array argument to all models providing predict survival function and predict cumulative hazard function. That means you can now choose, whether you want...
11  juin     12h33
Using VS Code and Podman to Develop SYCL Applications With DPC ’s CUDA Backend
   I recently wanted to create a development container for VS Code to develop applications using SYCL based on the CUDA backend of the oneAPI DPC (Data Parallel C ) compiler. As I’m running Fedora, it seemed natural to use Podman’s rootless containers instead of Docker for this. This turned out to be...
25  avril     18h14
scikit-survival 0.17.2 released
   I’m pleased to announce the release of scikit-survival 0.17.2. This release fixes several small issues with packaging scikit-survival and the documentation. For a full list of changes in scikit-survival 0.17.2, please see the release notes. Most notably, binary wheels are now available for Linux,...
09  janvier     15h45
scikit-survival 0.17 released
   This release adds support for scikit-learn 1.0, which includes support for feature names. If you pass a pandas dataframe to fit, the estimator will set a feature names in attribute containing the feature names. When a dataframe is passed to predict, it is checked that the column names are...
30  octobre     10h41
scikit-survival 0.16 released
   I am proud to announce the release if version 0.16.0 of scikit-survival, The biggest improvement in this release is that you can now change the evaluation metric that is used in estimators’ score method. This is particular useful for hyper-parameter optimization using scikit-learn’s GridSearchCV....