diff --git a/.appveyor.yml b/.appveyor.yml index aae1c3a07..23b8a0a40 100644 --- a/.appveyor.yml +++ b/.appveyor.yml @@ -1,4 +1,4 @@ -version: 4.4.0.99.{build} +version: 4.5.0.{build} image: Visual Studio 2015 platform: x64 diff --git a/R-package/configure b/R-package/configure index d3fdcbbb3..060077f42 100755 --- a/R-package/configure +++ b/R-package/configure @@ -1,6 +1,6 @@ #! /bin/sh # Guess values for system-dependent variables and create Makefiles. -# Generated by GNU Autoconf 2.71 for lightgbm 4.4.0.99. +# Generated by GNU Autoconf 2.71 for lightgbm 4.5.0. # # # Copyright (C) 1992-1996, 1998-2017, 2020-2021 Free Software Foundation, @@ -607,8 +607,8 @@ MAKEFLAGS= # Identity of this package. PACKAGE_NAME='lightgbm' PACKAGE_TARNAME='lightgbm' -PACKAGE_VERSION='4.4.0.99' -PACKAGE_STRING='lightgbm 4.4.0.99' +PACKAGE_VERSION='4.5.0' +PACKAGE_STRING='lightgbm 4.5.0' PACKAGE_BUGREPORT='' PACKAGE_URL='' @@ -1211,7 +1211,7 @@ if test "$ac_init_help" = "long"; then # Omit some internal or obsolete options to make the list less imposing. # This message is too long to be a string in the A/UX 3.1 sh. cat <<_ACEOF -\`configure' configures lightgbm 4.4.0.99 to adapt to many kinds of systems. +\`configure' configures lightgbm 4.5.0 to adapt to many kinds of systems. Usage: $0 [OPTION]... [VAR=VALUE]... @@ -1273,7 +1273,7 @@ fi if test -n "$ac_init_help"; then case $ac_init_help in - short | recursive ) echo "Configuration of lightgbm 4.4.0.99:";; + short | recursive ) echo "Configuration of lightgbm 4.5.0:";; esac cat <<\_ACEOF @@ -1341,7 +1341,7 @@ fi test -n "$ac_init_help" && exit $ac_status if $ac_init_version; then cat <<\_ACEOF -lightgbm configure 4.4.0.99 +lightgbm configure 4.5.0 generated by GNU Autoconf 2.71 Copyright (C) 2021 Free Software Foundation, Inc. @@ -1378,7 +1378,7 @@ cat >config.log <<_ACEOF This file contains any messages produced by compilers while running configure, to aid debugging if configure makes a mistake. -It was created by lightgbm $as_me 4.4.0.99, which was +It was created by lightgbm $as_me 4.5.0, which was generated by GNU Autoconf 2.71. Invocation command line was $ $0$ac_configure_args_raw @@ -2454,7 +2454,7 @@ cat >>$CONFIG_STATUS <<\_ACEOF || ac_write_fail=1 # report actual input values of CONFIG_FILES etc. instead of their # values after options handling. ac_log=" -This file was extended by lightgbm $as_me 4.4.0.99, which was +This file was extended by lightgbm $as_me 4.5.0, which was generated by GNU Autoconf 2.71. Invocation command line was CONFIG_FILES = $CONFIG_FILES @@ -2509,7 +2509,7 @@ ac_cs_config_escaped=`printf "%s\n" "$ac_cs_config" | sed "s/^ //; s/'/'\\\\\\\\ cat >>$CONFIG_STATUS <<_ACEOF || ac_write_fail=1 ac_cs_config='$ac_cs_config_escaped' ac_cs_version="\\ -lightgbm config.status 4.4.0.99 +lightgbm config.status 4.5.0 configured by $0, generated by GNU Autoconf 2.71, with options \\"\$ac_cs_config\\" diff --git a/R-package/cran-comments.md b/R-package/cran-comments.md index 32916a0c8..5771889b3 100644 --- a/R-package/cran-comments.md +++ b/R-package/cran-comments.md @@ -1,5 +1,28 @@ # CRAN Submission History +## v4.5.0 - Submission 1 - (TBD) + +### CRAN response + +TBD + +### Maintainer Notes + +This release was a response to a request from CRAN. +On July 4, 2024, CRAN notified us that the following compiler warnings raised by `gcc` 14 needed to be fixed by August 3, 2024. + +```text +Result: WARN + Found the following significant warnings: + io/dense_bin.hpp:617:27: warning: template-id not allowed for constructor in C++20 [-Wtemplate-id-cdtor] + io/multi_val_dense_bin.hpp:346:26: warning: template-id not allowed for constructor in C++20 [-Wtemplate-id-cdtor] + io/multi_val_sparse_bin.hpp:433:36: warning: template-id not allowed for constructor in C++20 [-Wtemplate-id-cdtor] + io/sparse_bin.hpp:785:19: warning: template-id not allowed for constructor in C++20 [-Wtemplate-id-cdtor] + See ‘/data/gannet/ripley/R/packages/tests-devel/lightgbm.Rcheck/00install.out’ for details. +``` + +This release contains fixes for those issues. + ## v4.4.0 - Submission 1 - (June 14, 2024) ### CRAN response diff --git a/R-package/pkgdown/_pkgdown.yml b/R-package/pkgdown/_pkgdown.yml index c2d6718a2..be3563210 100644 --- a/R-package/pkgdown/_pkgdown.yml +++ b/R-package/pkgdown/_pkgdown.yml @@ -14,7 +14,7 @@ repo: user: https://github.com/ development: - mode: unreleased + mode: release authors: Yu Shi: diff --git a/VERSION.txt b/VERSION.txt index 50e035a51..a84947d6f 100644 --- a/VERSION.txt +++ b/VERSION.txt @@ -1 +1 @@ -4.4.0.99 +4.5.0 diff --git a/docs/Parameters.rst b/docs/Parameters.rst index bd74bba46..de2bc5472 100644 --- a/docs/Parameters.rst +++ b/docs/Parameters.rst @@ -149,7 +149,7 @@ Core Parameters - ``goss``, Gradient-based One-Side Sampling - - *New in 4.0.0* + - *New in version 4.0.0* - ``data`` :raw-html:`🔗︎`, default = ``""``, type = string, aliases: ``train``, ``train_data``, ``train_data_file``, ``data_filename`` @@ -414,7 +414,7 @@ Learning Control Parameters - when early stopping is used (i.e. ``early_stopping_round > 0``), require the early stopping metric to improve by at least this delta to be considered an improvement - - *New in 4.4.0* + - *New in version 4.4.0* - ``first_metric_only`` :raw-html:`🔗︎`, default = ``false``, type = bool @@ -692,7 +692,7 @@ Learning Control Parameters - **Note**: can be used only with ``device_type = cpu`` and ``device_type=cuda`` - - *New in 4.0.0* + - *New in version 4.0.0* - ``quant_train_renew_leaf`` :raw-html:`🔗︎`, default = ``false``, type = bool @@ -702,7 +702,7 @@ Learning Control Parameters - **Note**: can be used only with ``device_type = cpu`` and ``device_type=cuda`` - - *New in 4.0.0* + - *New in version 4.0.0* - ``stochastic_rounding`` :raw-html:`🔗︎`, default = ``true``, type = bool @@ -710,7 +710,7 @@ Learning Control Parameters - **Note**: can be used only with ``device_type = cpu`` and ``device_type=cuda`` - - *New in 4.0.0* + - *New in version 4.0.0* IO Parameters ------------- @@ -930,7 +930,7 @@ Dataset Parameters - **Note**: ``lightgbm-transform`` is not maintained by LightGBM's maintainers. Bug reports or feature requests should go to `issues page `__ - - *New in 4.0.0* + - *New in version 4.0.0* Predict Parameters ~~~~~~~~~~~~~~~~~~ diff --git a/include/LightGBM/config.h b/include/LightGBM/config.h index ed3dd1226..a682c47d3 100644 --- a/include/LightGBM/config.h +++ b/include/LightGBM/config.h @@ -181,7 +181,7 @@ struct Config { // desc = ``bagging``, Randomly Bagging Sampling // descl2 = **Note**: ``bagging`` is only effective when ``bagging_freq > 0`` and ``bagging_fraction < 1.0`` // desc = ``goss``, Gradient-based One-Side Sampling - // desc = *New in 4.0.0* + // desc = *New in version 4.0.0* std::string data_sample_strategy = "bagging"; // alias = train, train_data, train_data_file, data_filename @@ -396,7 +396,7 @@ struct Config { // check = >=0.0 // desc = when early stopping is used (i.e. ``early_stopping_round > 0``), require the early stopping metric to improve by at least this delta to be considered an improvement - // desc = *New in 4.4.0* + // desc = *New in version 4.4.0* double early_stopping_min_delta = 0.0; // desc = LightGBM allows you to provide multiple evaluation metrics. Set this to ``true``, if you want to use only the first metric for early stopping @@ -626,18 +626,18 @@ struct Config { // desc = number of bins to quantization gradients and hessians // desc = with more bins, the quantized training will be closer to full precision training // desc = **Note**: can be used only with ``device_type = cpu`` and ``device_type=cuda`` - // desc = *New in 4.0.0* + // desc = *New in version 4.0.0* int num_grad_quant_bins = 4; // desc = whether to renew the leaf values with original gradients when quantized training // desc = renewing is very helpful for good quantized training accuracy for ranking objectives // desc = **Note**: can be used only with ``device_type = cpu`` and ``device_type=cuda`` - // desc = *New in 4.0.0* + // desc = *New in version 4.0.0* bool quant_train_renew_leaf = false; // desc = whether to use stochastic rounding in gradient quantization // desc = **Note**: can be used only with ``device_type = cpu`` and ``device_type=cuda`` - // desc = *New in 4.0.0* + // desc = *New in version 4.0.0* bool stochastic_rounding = true; #ifndef __NVCC__ @@ -801,7 +801,7 @@ struct Config { // desc = path to a ``.json`` file that specifies customized parser initialized configuration // desc = see `lightgbm-transform `__ for usage examples // desc = **Note**: ``lightgbm-transform`` is not maintained by LightGBM's maintainers. Bug reports or feature requests should go to `issues page `__ - // desc = *New in 4.0.0* + // desc = *New in version 4.0.0* std::string parser_config_file = ""; #ifndef __NVCC__ diff --git a/python-package/lightgbm/sklearn.py b/python-package/lightgbm/sklearn.py index 3c8d970e7..ad805eef7 100644 --- a/python-package/lightgbm/sklearn.py +++ b/python-package/lightgbm/sklearn.py @@ -1157,7 +1157,10 @@ class LGBMModel(_LGBMModelBase): @property def feature_names_in_(self) -> np.ndarray: - """:obj:`array` of shape = [n_features]: scikit-learn compatible version of ``.feature_name_``.""" + """:obj:`array` of shape = [n_features]: scikit-learn compatible version of ``.feature_name_``. + + .. versionadded:: 4.5.0 + """ if not self.__sklearn_is_fitted__(): raise LGBMNotFittedError("No feature_names_in_ found. Need to call fit beforehand.") return np.array(self.feature_name_) diff --git a/python-package/pyproject.toml b/python-package/pyproject.toml index 39fc6d8f0..62344641c 100644 --- a/python-package/pyproject.toml +++ b/python-package/pyproject.toml @@ -30,7 +30,7 @@ maintainers = [ name = "lightgbm" readme = "README.rst" requires-python = ">=3.7" -version = "4.4.0.99" +version = "4.5.0" [project.optional-dependencies] arrow = [