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development version #82
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Feature: aggregation of SurvSHAP values across multiple observation
…n wise aggregation using custom functions.
…th multiple observations
- make model_survshap working with new data that was not use to build explainer - documentation of model_survshap - minor error handling enhancements - added unit-tests for global survshap - removed global survshap tests from test-predict-parts addresses #75
and also updated unit-test to allow specifying both, new_observation and N
Minor enhancements regarding implementation of global survshap
- `model_diagnostics()` for analysis of survival residuals - new times generation method for `explain()` - `"survival_quantiles"` that generate times based on survival quantiles from Kaplan-Meier estimator, set as default (!) - new explainers: for `flexsurv` models and for Python `scikit-survival` models (can be used with `reticulate`) - new plots for `model_survshap()` - curves (with functional box plot) - `output_type = "chf"`
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Before merge:
NEWS.md
)README.md
- list all available methods & make roadmap