From 98eb1d59d15a41369d174138e92d1b6b4f4792ad Mon Sep 17 00:00:00 2001
From: Christian Lorentzen <lorentzen.ch@gmail.com>
Date: Mon, 1 May 2023 20:21:05 +0200
Subject: [PATCH 1/2] MNT remove unused args in
 _predict_regression_tree_inplace_fast_dense

---
 sklearn/ensemble/_gradient_boosting.pyx | 9 +--------
 1 file changed, 1 insertion(+), 8 deletions(-)

diff --git a/sklearn/ensemble/_gradient_boosting.pyx b/sklearn/ensemble/_gradient_boosting.pyx
index f310f2f25f7b1..834e3baee5fc4 100644
--- a/sklearn/ensemble/_gradient_boosting.pyx
+++ b/sklearn/ensemble/_gradient_boosting.pyx
@@ -33,7 +33,6 @@ cdef void _predict_regression_tree_inplace_fast_dense(
     double scale,
     Py_ssize_t k,
     Py_ssize_t n_samples,
-    Py_ssize_t n_features,
     cnp.float64_t[:, :] out
 ) noexcept nogil:
     """Predicts output for regression tree and stores it in ``out[i, k]``.
@@ -60,16 +59,12 @@ cdef void _predict_regression_tree_inplace_fast_dense(
     k : int
         The index of the tree output to be predicted. Must satisfy
         0 <= ``k`` < ``K``.
-    n_samples : int
-        The number of samples in the input array ``X``;
-        ``n_samples == X.shape[0]``.
-    n_features : int
-        The number of features; ``n_samples == X.shape[1]``.
     out : memory view on array of type np.float64_t
         The data array where the predictions are stored.
         ``out`` is assumed to be a two-dimensional array of
         shape ``(n_samples, K)``.
     """
+    cdef SIZE_t n_samples = X.shape[0]
     cdef Py_ssize_t i
     cdef Node *node
     for i in range(n_samples):
@@ -212,8 +207,6 @@ def predict_stages(
                     value=tree.value,
                     scale=scale,
                     k=k,
-                    n_samples=X.shape[0],
-                    n_features=X.shape[1],
                     out=out
                 )
                 # out[:, k] += scale * tree.predict(X).ravel()

From c121c8e435104191acf7784e951dc1ab1a4f457c Mon Sep 17 00:00:00 2001
From: Christian Lorentzen <lorentzen.ch@gmail.com>
Date: Tue, 2 May 2023 20:32:07 +0200
Subject: [PATCH 2/2] CLN remove n_samples arg

---
 sklearn/ensemble/_gradient_boosting.pyx | 1 -
 1 file changed, 1 deletion(-)

diff --git a/sklearn/ensemble/_gradient_boosting.pyx b/sklearn/ensemble/_gradient_boosting.pyx
index 834e3baee5fc4..b7846cc38f4af 100644
--- a/sklearn/ensemble/_gradient_boosting.pyx
+++ b/sklearn/ensemble/_gradient_boosting.pyx
@@ -32,7 +32,6 @@ cdef void _predict_regression_tree_inplace_fast_dense(
     double *value,
     double scale,
     Py_ssize_t k,
-    Py_ssize_t n_samples,
     cnp.float64_t[:, :] out
 ) noexcept nogil:
     """Predicts output for regression tree and stores it in ``out[i, k]``.