From 9da22371233c84cd03076db8b5af07797a90db3b Mon Sep 17 00:00:00 2001
From: Michael Mayer <mayermichael79@gmail.com>
Date: Tue, 26 Dec 2023 08:09:18 +0100
Subject: [PATCH] Update docu

---
 man/kernelshap.Rd | 22 ----------------------
 man/permshap.Rd   | 16 ----------------
 2 files changed, 38 deletions(-)

diff --git a/man/kernelshap.Rd b/man/kernelshap.Rd
index adbd6bc..d2b0a27 100644
--- a/man/kernelshap.Rd
+++ b/man/kernelshap.Rd
@@ -4,7 +4,6 @@
 \alias{kernelshap}
 \alias{kernelshap.default}
 \alias{kernelshap.ranger}
-\alias{kernelshap.Learner}
 \title{Kernel SHAP}
 \usage{
 kernelshap(object, ...)
@@ -46,25 +45,6 @@ kernelshap(object, ...)
   verbose = TRUE,
   ...
 )
-
-\method{kernelshap}{Learner}(
-  object,
-  X,
-  bg_X,
-  pred_fun = NULL,
-  feature_names = colnames(X),
-  bg_w = NULL,
-  exact = length(feature_names) <= 8L,
-  hybrid_degree = 1L + length(feature_names) \%in\% 4:16,
-  paired_sampling = TRUE,
-  m = 2L * length(feature_names) * (1L + 3L * (hybrid_degree == 0L)),
-  tol = 0.005,
-  max_iter = 100L,
-  parallel = FALSE,
-  parallel_args = NULL,
-  verbose = TRUE,
-  ...
-)
 }
 \arguments{
 \item{object}{Fitted model object.}
@@ -238,8 +218,6 @@ For similar reasons, degree 2 hybrids should not use \eqn{p} much larger than 40
 
 \item \code{kernelshap(ranger)}: Kernel SHAP method for "ranger" models, see Readme for an example.
 
-\item \code{kernelshap(Learner)}: Kernel SHAP method for "mlr3" models, see Readme for an example.
-
 }}
 \examples{
 # MODEL ONE: Linear regression
diff --git a/man/permshap.Rd b/man/permshap.Rd
index f3648c8..567a321 100644
--- a/man/permshap.Rd
+++ b/man/permshap.Rd
@@ -4,7 +4,6 @@
 \alias{permshap}
 \alias{permshap.default}
 \alias{permshap.ranger}
-\alias{permshap.Learner}
 \title{Permutation SHAP}
 \usage{
 permshap(object, ...)
@@ -34,19 +33,6 @@ permshap(object, ...)
   verbose = TRUE,
   ...
 )
-
-\method{permshap}{Learner}(
-  object,
-  X,
-  bg_X,
-  pred_fun = NULL,
-  feature_names = colnames(X),
-  bg_w = NULL,
-  parallel = FALSE,
-  parallel_args = NULL,
-  verbose = TRUE,
-  ...
-)
 }
 \arguments{
 \item{object}{Fitted model object.}
@@ -111,8 +97,6 @@ see Strumbelj and Kononenko. The function works for up to 14 features.
 
 \item \code{permshap(ranger)}: Permutation SHAP method for "ranger" models, see Readme for an example.
 
-\item \code{permshap(Learner)}: Permutation SHAP method for "mlr3" models, see Readme for an example.
-
 }}
 \examples{
 # MODEL ONE: Linear regression