зеркало из https://github.com/microsoft/LightGBM.git
release v4.5.0 (#6538)
This commit is contained in:
James Lamb
GitHub
Родитель
a4793b62d9
Коммит
3f7e608127
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@ -1,4 +1,4 @@
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version: 4.4.0.99.{build}
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version: 4.5.0.{build}
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image: Visual Studio 2015
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platform: x64
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@ -1,6 +1,6 @@
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#! /bin/sh
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# Guess values for system-dependent variables and create Makefiles.
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# Generated by GNU Autoconf 2.71 for lightgbm 4.4.0.99.
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# Generated by GNU Autoconf 2.71 for lightgbm 4.5.0.
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#
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#
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# Copyright (C) 1992-1996, 1998-2017, 2020-2021 Free Software Foundation,
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@ -607,8 +607,8 @@ MAKEFLAGS=
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# Identity of this package.
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PACKAGE_NAME='lightgbm'
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PACKAGE_TARNAME='lightgbm'
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PACKAGE_VERSION='4.4.0.99'
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PACKAGE_STRING='lightgbm 4.4.0.99'
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PACKAGE_VERSION='4.5.0'
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PACKAGE_STRING='lightgbm 4.5.0'
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PACKAGE_BUGREPORT=''
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PACKAGE_URL=''
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@ -1211,7 +1211,7 @@ if test "$ac_init_help" = "long"; then
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# Omit some internal or obsolete options to make the list less imposing.
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# This message is too long to be a string in the A/UX 3.1 sh.
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cat <<_ACEOF
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\`configure' configures lightgbm 4.4.0.99 to adapt to many kinds of systems.
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\`configure' configures lightgbm 4.5.0 to adapt to many kinds of systems.
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Usage: $0 [OPTION]... [VAR=VALUE]...
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@ -1273,7 +1273,7 @@ fi
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if test -n "$ac_init_help"; then
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case $ac_init_help in
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short | recursive ) echo "Configuration of lightgbm 4.4.0.99:";;
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short | recursive ) echo "Configuration of lightgbm 4.5.0:";;
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esac
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cat <<\_ACEOF
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@ -1341,7 +1341,7 @@ fi
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test -n "$ac_init_help" && exit $ac_status
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if $ac_init_version; then
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cat <<\_ACEOF
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lightgbm configure 4.4.0.99
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lightgbm configure 4.5.0
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generated by GNU Autoconf 2.71
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Copyright (C) 2021 Free Software Foundation, Inc.
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@ -1378,7 +1378,7 @@ cat >config.log <<_ACEOF
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This file contains any messages produced by compilers while
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running configure, to aid debugging if configure makes a mistake.
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It was created by lightgbm $as_me 4.4.0.99, which was
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It was created by lightgbm $as_me 4.5.0, which was
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generated by GNU Autoconf 2.71. Invocation command line was
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$ $0$ac_configure_args_raw
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@ -2454,7 +2454,7 @@ cat >>$CONFIG_STATUS <<\_ACEOF || ac_write_fail=1
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# report actual input values of CONFIG_FILES etc. instead of their
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# values after options handling.
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ac_log="
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This file was extended by lightgbm $as_me 4.4.0.99, which was
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This file was extended by lightgbm $as_me 4.5.0, which was
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generated by GNU Autoconf 2.71. Invocation command line was
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CONFIG_FILES = $CONFIG_FILES
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@ -2509,7 +2509,7 @@ ac_cs_config_escaped=`printf "%s\n" "$ac_cs_config" | sed "s/^ //; s/'/'\\\\\\\\
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cat >>$CONFIG_STATUS <<_ACEOF || ac_write_fail=1
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ac_cs_config='$ac_cs_config_escaped'
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ac_cs_version="\\
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lightgbm config.status 4.4.0.99
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lightgbm config.status 4.5.0
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configured by $0, generated by GNU Autoconf 2.71,
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with options \\"\$ac_cs_config\\"
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@ -1,5 +1,28 @@
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# CRAN Submission History
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## v4.5.0 - Submission 1 - (TBD)
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### CRAN response
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TBD
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### Maintainer Notes
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This release was a response to a request from CRAN.
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On July 4, 2024, CRAN notified us that the following compiler warnings raised by `gcc` 14 needed to be fixed by August 3, 2024.
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```text
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Result: WARN
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Found the following significant warnings:
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io/dense_bin.hpp:617:27: warning: template-id not allowed for constructor in C++20 [-Wtemplate-id-cdtor]
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io/multi_val_dense_bin.hpp:346:26: warning: template-id not allowed for constructor in C++20 [-Wtemplate-id-cdtor]
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io/multi_val_sparse_bin.hpp:433:36: warning: template-id not allowed for constructor in C++20 [-Wtemplate-id-cdtor]
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io/sparse_bin.hpp:785:19: warning: template-id not allowed for constructor in C++20 [-Wtemplate-id-cdtor]
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See ‘/data/gannet/ripley/R/packages/tests-devel/lightgbm.Rcheck/00install.out’ for details.
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```
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This release contains fixes for those issues.
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## v4.4.0 - Submission 1 - (June 14, 2024)
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### CRAN response
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@ -14,7 +14,7 @@ repo:
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user: https://github.com/
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development:
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mode: unreleased
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mode: release
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authors:
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Yu Shi:
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@ -1 +1 @@
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4.4.0.99
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4.5.0
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@ -149,7 +149,7 @@ Core Parameters
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- ``goss``, Gradient-based One-Side Sampling
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- *New in 4.0.0*
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- *New in version 4.0.0*
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- ``data`` :raw-html:`<a id="data" title="Permalink to this parameter" href="#data">🔗︎</a>`, default = ``""``, type = string, aliases: ``train``, ``train_data``, ``train_data_file``, ``data_filename``
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@ -414,7 +414,7 @@ Learning Control Parameters
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- 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
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- *New in 4.4.0*
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- *New in version 4.4.0*
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- ``first_metric_only`` :raw-html:`<a id="first_metric_only" title="Permalink to this parameter" href="#first_metric_only">🔗︎</a>`, default = ``false``, type = bool
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@ -692,7 +692,7 @@ Learning Control Parameters
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- **Note**: can be used only with ``device_type = cpu`` and ``device_type=cuda``
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- *New in 4.0.0*
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- *New in version 4.0.0*
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- ``quant_train_renew_leaf`` :raw-html:`<a id="quant_train_renew_leaf" title="Permalink to this parameter" href="#quant_train_renew_leaf">🔗︎</a>`, default = ``false``, type = bool
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@ -702,7 +702,7 @@ Learning Control Parameters
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- **Note**: can be used only with ``device_type = cpu`` and ``device_type=cuda``
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- *New in 4.0.0*
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- *New in version 4.0.0*
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- ``stochastic_rounding`` :raw-html:`<a id="stochastic_rounding" title="Permalink to this parameter" href="#stochastic_rounding">🔗︎</a>`, default = ``true``, type = bool
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@ -710,7 +710,7 @@ Learning Control Parameters
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- **Note**: can be used only with ``device_type = cpu`` and ``device_type=cuda``
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- *New in 4.0.0*
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- *New in version 4.0.0*
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IO Parameters
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-------------
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@ -930,7 +930,7 @@ Dataset Parameters
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- **Note**: ``lightgbm-transform`` is not maintained by LightGBM's maintainers. Bug reports or feature requests should go to `issues page <https://github.com/microsoft/lightgbm-transform/issues>`__
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- *New in 4.0.0*
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- *New in version 4.0.0*
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Predict Parameters
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~~~~~~~~~~~~~~~~~~
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@ -181,7 +181,7 @@ struct Config {
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// desc = ``bagging``, Randomly Bagging Sampling
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// descl2 = **Note**: ``bagging`` is only effective when ``bagging_freq > 0`` and ``bagging_fraction < 1.0``
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// desc = ``goss``, Gradient-based One-Side Sampling
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// desc = *New in 4.0.0*
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// desc = *New in version 4.0.0*
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std::string data_sample_strategy = "bagging";
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// alias = train, train_data, train_data_file, data_filename
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@ -396,7 +396,7 @@ struct Config {
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// check = >=0.0
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// 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
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// desc = *New in 4.4.0*
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// desc = *New in version 4.4.0*
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double early_stopping_min_delta = 0.0;
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// 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
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// desc = number of bins to quantization gradients and hessians
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// desc = with more bins, the quantized training will be closer to full precision training
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// desc = **Note**: can be used only with ``device_type = cpu`` and ``device_type=cuda``
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// desc = *New in 4.0.0*
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// desc = *New in version 4.0.0*
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int num_grad_quant_bins = 4;
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// desc = whether to renew the leaf values with original gradients when quantized training
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// desc = renewing is very helpful for good quantized training accuracy for ranking objectives
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// desc = **Note**: can be used only with ``device_type = cpu`` and ``device_type=cuda``
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// desc = *New in 4.0.0*
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// desc = *New in version 4.0.0*
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bool quant_train_renew_leaf = false;
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// desc = whether to use stochastic rounding in gradient quantization
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// desc = **Note**: can be used only with ``device_type = cpu`` and ``device_type=cuda``
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// desc = *New in 4.0.0*
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// desc = *New in version 4.0.0*
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bool stochastic_rounding = true;
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#ifndef __NVCC__
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@ -801,7 +801,7 @@ struct Config {
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// desc = path to a ``.json`` file that specifies customized parser initialized configuration
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// desc = see `lightgbm-transform <https://github.com/microsoft/lightgbm-transform>`__ for usage examples
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// desc = **Note**: ``lightgbm-transform`` is not maintained by LightGBM's maintainers. Bug reports or feature requests should go to `issues page <https://github.com/microsoft/lightgbm-transform/issues>`__
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// desc = *New in 4.0.0*
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// desc = *New in version 4.0.0*
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std::string parser_config_file = "";
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#ifndef __NVCC__
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@ -1157,7 +1157,10 @@ class LGBMModel(_LGBMModelBase):
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@property
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def feature_names_in_(self) -> np.ndarray:
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""":obj:`array` of shape = [n_features]: scikit-learn compatible version of ``.feature_name_``."""
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""":obj:`array` of shape = [n_features]: scikit-learn compatible version of ``.feature_name_``.
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.. versionadded:: 4.5.0
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"""
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if not self.__sklearn_is_fitted__():
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raise LGBMNotFittedError("No feature_names_in_ found. Need to call fit beforehand.")
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return np.array(self.feature_name_)
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@ -30,7 +30,7 @@ maintainers = [
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name = "lightgbm"
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readme = "README.rst"
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requires-python = ">=3.7"
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version = "4.4.0.99"
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version = "4.5.0"
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[project.optional-dependencies]
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arrow = [
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