release v4.6.0

.appveyor.yml

@@ -1,4 +1,4 @@
-version: 4.5.0.99.{build}
+version: 4.6.0.{build}
 
 image: Visual Studio 2015
 platform: x64

R-package/cran-comments.md

@@ -1,5 +1,36 @@
 # CRAN Submission History
 
+## v4.6.0 - Submission 1 - (TBD)
+
+### CRAN response
+
+TBD
+
+### Maintainer Notes
+
+This release fixed several issues reported by CRAN.
+Bashisms in `configure`
+
+```text
+possible bashism in configure.ac line 63 (should be VAR="${VAR}foo"):
+    LGB_CPPFLAGS+=" -DMM_PREFETCH=1"
+possible bashism in configure.ac line 89 (should be VAR="${VAR}foo"):
+    LGB_CPPFLAGS+=" -DMM_MALLOC=1"
+```
+
+Compilation errors on GCC 15.
+
+```text
+io/json11.cpp:97:28: error: 'uint8_t' does not name a type
+   97 |     } else if (static_cast<uint8_t>(ch) == 0xe2 &&
+      |                            ^~~~~~~
+io/json11.cpp:97:28: note: 'uint8_t' is defined in header '<cstdint>'; this is probably fixable by adding '#include <cstdint>'
+io/json11.cpp:98:28: error: 'uint8_t' does not name a type
+   98 |                static_cast<uint8_t>(value[i + 1]) == 0x80 &&
+```
+
+This release contains fixes for those issues.
+
 ## v4.5.0 - Submission 1 - (July 25, 2024)
 
 ### CRAN response

R-package/pkgdown/_pkgdown.yml

@@ -14,7 +14,7 @@ repo:
     user: https://github.com/
 
 development:
-  mode: unreleased
+  mode: release
 
 authors:
   Yu Shi:

VERSION.txt

@@ -1 +1 @@
-4.5.0.99
+4.6.0

docs/Parameters.rst

@@ -417,6 +417,8 @@ Learning Control Parameters
 
    -  whether to do bagging sample by query
 
+   -  *New in version 4.6.0*
+
 -  ``feature_fraction`` :raw-html:`<a id="feature_fraction" title="Permalink to this parameter" href="#feature_fraction">&#x1F517;&#xFE0E;</a>`, default = ``1.0``, type = double, aliases: ``sub_feature``, ``colsample_bytree``, constraints: ``0.0 < feature_fraction <= 1.0``
 
    -  LightGBM will randomly select a subset of features on each iteration (tree) if ``feature_fraction`` is smaller than ``1.0``. For example, if you set it to ``0.8``, LightGBM will select 80% of features before training each tree

include/LightGBM/config.h

@@ -359,6 +359,7 @@ struct Config {
   int bagging_seed = 3;
 
   // desc = whether to do bagging sample by query
+  // desc = *New in version 4.6.0*
   bool bagging_by_query = false;
 
   // alias = sub_feature, colsample_bytree

python-package/pyproject.toml

@@ -30,7 +30,7 @@ maintainers = [
 name = "lightgbm"
 readme = "README.rst"
 requires-python = ">=3.7"
-version = "4.5.0.99"
+version = "4.6.0"
 
 [project.optional-dependencies]
 arrow = [