Skip to main content
Ctrl+K

scikit-survival 0.28.0

  • Install
  • User Guide
  • API reference
  • Contribute
  • Release Notes
  • Cite
Ctrl+K
scikit-survival
    Ctrl+K
    • Install
    • User Guide
    • API reference
    • Contribute
    • Release Notes
    • Cite
    scikit-survival

      Section Navigation

      • Datasets
        • sksurv.datasets.get_x_y
        • sksurv.datasets.load_aids
        • sksurv.datasets.load_arff_files_standardized
        • sksurv.datasets.load_bmt
        • sksurv.datasets.load_cgvhd
        • sksurv.datasets.load_breast_cancer
        • sksurv.datasets.load_flchain
        • sksurv.datasets.load_gbsg2
        • sksurv.datasets.load_whas500
        • sksurv.datasets.load_veterans_lung_cancer
      • Ensemble Models
        • sksurv.ensemble.ComponentwiseGradientBoostingSurvivalAnalysis
        • sksurv.ensemble.GradientBoostingSurvivalAnalysis
        • sksurv.ensemble.RandomSurvivalForest
        • sksurv.ensemble.ExtraSurvivalTrees
      • Functions
        • sksurv.functions.StepFunction
      • Hypothesis testing
        • sksurv.compare.compare_survival
      • I/O Utilities
        • sksurv.io.loadarff
        • sksurv.io.writearff
      • Kernels
        • sksurv.kernels.ClinicalKernelTransform
        • sksurv.kernels.clinical_kernel
      • Linear Models
        • sksurv.linear_model.CoxnetSurvivalAnalysis
        • sksurv.linear_model.CoxPHSurvivalAnalysis
        • sksurv.linear_model.IPCRidge
      • Meta Models
        • sksurv.meta.EnsembleSelection
        • sksurv.meta.EnsembleSelectionRegressor
        • sksurv.meta.Stacking
      • Metrics
        • sksurv.metrics.brier_score
        • sksurv.metrics.concordance_index_censored
        • sksurv.metrics.concordance_index_ipcw
        • sksurv.metrics.cumulative_dynamic_auc
        • sksurv.metrics.integrated_brier_score
        • sksurv.metrics.as_concordance_index_ipcw_scorer
        • sksurv.metrics.as_cumulative_dynamic_auc_scorer
        • sksurv.metrics.as_integrated_brier_score_scorer
      • Non-parametric Estimators
        • sksurv.nonparametric.CensoringDistributionEstimator
        • sksurv.nonparametric.SurvivalFunctionEstimator
        • sksurv.nonparametric.cumulative_incidence_competing_risks
        • sksurv.nonparametric.ipc_weights
        • sksurv.nonparametric.kaplan_meier_estimator
        • sksurv.nonparametric.nelson_aalen_estimator
      • Pre-Processing
        • sksurv.preprocessing.OneHotEncoder
        • sksurv.column.categorical_to_numeric
        • sksurv.column.encode_categorical
        • sksurv.column.standardize
      • Survival Support Vector Machine
        • sksurv.svm.HingeLossSurvivalSVM
        • sksurv.svm.FastKernelSurvivalSVM
        • sksurv.svm.FastSurvivalSVM
        • sksurv.svm.MinlipSurvivalAnalysis
        • sksurv.svm.NaiveSurvivalSVM
      • Survival Trees
        • sksurv.tree.SurvivalTree
        • sksurv.tree.ExtraSurvivalTree
      • Utilities
        • sksurv.util.Surv
      • API reference
      • Kernels

      Kernels#

      ClinicalKernelTransform(*[, fit_once, ...])

      Transform data using a clinical Kernel

      clinical_kernel(x[, y, ordinal_categories])

      Computes clinical kernel.

      previous

      sksurv.io.writearff

      next

      sksurv.kernels.ClinicalKernelTransform

      © Copyright 2015-2026, Sebastian Pölsterl and contributors.

      Created using Sphinx 8.2.3.

      Built with the PyData Sphinx Theme 0.18.0.