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Date:      Thu, 5 Dec 2024 18:11:18 GMT
From:      Yuri Victorovich <yuri@FreeBSD.org>
To:        ports-committers@FreeBSD.org, dev-commits-ports-all@FreeBSD.org, dev-commits-ports-main@FreeBSD.org
Subject:   git: 4250730c8dae - main - math/mlpack: update 4.5.0 =?utf-8?Q?=E2=86=92?= 4.5.1
Message-ID:  <202412051811.4B5IBICq016271@gitrepo.freebsd.org>

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The branch main has been updated by yuri:

URL: https://cgit.FreeBSD.org/ports/commit/?id=4250730c8dae7ed722d9b3b8ac00aa8388fa0def

commit 4250730c8dae7ed722d9b3b8ac00aa8388fa0def
Author:     Yuri Victorovich <yuri@FreeBSD.org>
AuthorDate: 2024-11-05 14:14:59 +0000
Commit:     Yuri Victorovich <yuri@FreeBSD.org>
CommitDate: 2024-12-05 18:11:10 +0000

    math/mlpack: update 4.5.0 → 4.5.1
    
    Reported by:    portscout
---
 math/mlpack/Makefile  |  2 +-
 math/mlpack/distinfo  |  6 +++---
 math/mlpack/pkg-plist | 20 ++++++++++----------
 3 files changed, 14 insertions(+), 14 deletions(-)

diff --git a/math/mlpack/Makefile b/math/mlpack/Makefile
index 1943431e4ba0..264f0208a178 100644
--- a/math/mlpack/Makefile
+++ b/math/mlpack/Makefile
@@ -1,5 +1,5 @@
 PORTNAME=	mlpack
-DISTVERSION=	4.5.0
+DISTVERSION=	4.5.1
 CATEGORIES=	math # machine-learning
 MASTER_SITES=	https://mlpack.org/files/
 
diff --git a/math/mlpack/distinfo b/math/mlpack/distinfo
index b37ee00eda89..c2c0f4a01743 100644
--- a/math/mlpack/distinfo
+++ b/math/mlpack/distinfo
@@ -1,3 +1,3 @@
-TIMESTAMP = 1726679469
-SHA256 (mlpack-4.5.0.tar.gz) = aab70aee10c134ef3fe568843fe4b3bb5e8901af30ea666f57462ad950682317
-SIZE (mlpack-4.5.0.tar.gz) = 6376837
+TIMESTAMP = 1733374998
+SHA256 (mlpack-4.5.1.tar.gz) = 58059b911a78b8bda91eef4cfc6278383b24e71865263c2e0569cf5faa59dda3
+SIZE (mlpack-4.5.1.tar.gz) = 6590839
diff --git a/math/mlpack/pkg-plist b/math/mlpack/pkg-plist
index d36abf721fb5..0d7f21ef27ae 100644
--- a/math/mlpack/pkg-plist
+++ b/math/mlpack/pkg-plist
@@ -778,18 +778,18 @@ include/mlpack/methods/decision_tree/fitness_functions/information_gain.hpp
 include/mlpack/methods/decision_tree/fitness_functions/mad_gain.hpp
 include/mlpack/methods/decision_tree/fitness_functions/mse_gain.hpp
 include/mlpack/methods/decision_tree/select_functions/all_dimension_select.hpp
-include/mlpack/methods/decision_tree/select_functions/multiple_random_dimension_select.hpp
+include/mlpack/methods/decision_tree/select_functions/mult_random_dimension_select.hpp
 include/mlpack/methods/decision_tree/select_functions/random_dimension_select.hpp
 include/mlpack/methods/decision_tree/select_functions/select_functions.hpp
-include/mlpack/methods/decision_tree/split_functions/all_categorical_split.hpp
-include/mlpack/methods/decision_tree/split_functions/all_categorical_split_impl.hpp
-include/mlpack/methods/decision_tree/split_functions/best_binary_categorical_split.hpp
-include/mlpack/methods/decision_tree/split_functions/best_binary_categorical_split_impl.hpp
-include/mlpack/methods/decision_tree/split_functions/best_binary_numeric_split.hpp
-include/mlpack/methods/decision_tree/split_functions/best_binary_numeric_split_impl.hpp
-include/mlpack/methods/decision_tree/split_functions/random_binary_numeric_split.hpp
-include/mlpack/methods/decision_tree/split_functions/random_binary_numeric_split_impl.hpp
-include/mlpack/methods/decision_tree/split_functions/split_functions.hpp
+include/mlpack/methods/decision_tree/splits/all_categorical_split.hpp
+include/mlpack/methods/decision_tree/splits/all_categorical_split_impl.hpp
+include/mlpack/methods/decision_tree/splits/best_binary_categorical_split.hpp
+include/mlpack/methods/decision_tree/splits/best_binary_categorical_split_impl.hpp
+include/mlpack/methods/decision_tree/splits/best_binary_numeric_split.hpp
+include/mlpack/methods/decision_tree/splits/best_binary_numeric_split_impl.hpp
+include/mlpack/methods/decision_tree/splits/random_binary_numeric_split.hpp
+include/mlpack/methods/decision_tree/splits/random_binary_numeric_split_impl.hpp
+include/mlpack/methods/decision_tree/splits/splits.hpp
 include/mlpack/methods/decision_tree/utils.hpp
 include/mlpack/methods/det.hpp
 include/mlpack/methods/det/det.hpp



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