Bump lightgbm from 3.3.5 to 4.0.0

[dependabot]

Bumps lightgbm from 3.3.5 to 4.0.0.

Release notes

Sourced from lightgbm's releases.

v4.0.0

Changes

This release contains all previously-unreleased changes since v3.3.1 over 1.5 years ago (link).

Summary of improvements:

• totally-rewritten CUDA implementation, and more operations in the CUDA implementation performed on the GPU
• quantized training can be used for greatly improved training speeds on CPU (paper link)
• support for C++17
• Python package:
  • now uses scikit-build-core (link) as its build backend
  • manylinux_2_28 Linux wheels now support GPU (OpenCL-based, not CUDA) build automatically... just pip install lightgbm then pass {"device": "gpu"} in params (thanks @​jgiannuzzi!)
  • much more use of inline type hints, exported with py.typed so any code using LightGBM can benefit
  • support for Python 3.10, 3.11
  • support for pandas nullable types
  • configurable threshold (lgb.early_stopping(..., min_delta=n)) for how much eval metrics must improve to be considered "improved" for early stopping
  • custom objective functions in Dask
  • scikit-learn is no longer a required dependency
  • all callbacks are now pickleable (for better interoperability with e.g. ray, Dask) (thanks @​Yard1!)
• R package:
  • efficient support for more data types in prediction, like dgCMatrix and dsparseMatrix (thanks @​david-cortes!)
  • much more idomatic interface... e.g. support for saveRDS() and readRDS() for Booster, print() and summary() methods for Dataset (thanks @​david-cortes!)
  • various bug fixes related to multiple competing ways to provide parameters
  • support for R 4.2, 4.3

Summary of breaking changes:

• Python package:
  • dropped most testing, promise of support for Python 3.6 (although it should still technically be installable)
  • dropped support for macOS Mojave (10.14)
  • made many functions and class attributes private, including significantly reducing what is pulled in by from lightgbm import *
  • removed setup.py, pip install --install-optiion supporrt
  • remove support for pip install --install-option (to work with newer pip, see pypa/pip#11358)
    • see https://github.com/microsoft/LightGBM/blob/master/python-package/README.rst for new patterns
    • see pypa/pip#11358 and #5061 for background
  • dropped support for installation with MSBUild.exe ... that now requires compiling lib_lightgbm.dll separately and then building a wheel that bundles it
• R package:
  • dropped support for Solaris
  • removed most support for passing parameters through ...
  • removed lgb.unloader()
  • switched to predict(newdata, type = ...) in predict(), for consistency with base R and most other machine learning projects

💡 New Features

• [python-package] add 'pandas' extra @​jameslamb (#5937)
• [CUDA] Add more CUDA Regression Metrics @​Xuweijia-buaa (#5924)
• [python-package] adding max_category_values parameter to create_tree_digraph method (fixes #5687) @​moziada (#5818)
• [c++] support building with Ninja on Linux @​jameslamb (#5910)
• add CMakeLists options to disable building CLI, installing headers @​jameslamb (#5880)

... (truncated)

Commits

• d73c6b5 Release v4.0.0 (#5952)
• 84c657e [python-package] avoid data_has_header check in predict() (#5970)
• 28e0e6f [c++] virtual destructor for gradient discretizer (#5965)
• 7140396 [docs] fix broken link to contributor GitHub account (#5959)
• 99ac1ef [docs] add versionadded notes for v4.0.0 features (#5948)
• d9c7c72 [ci] [python-package] Add CI job testing compatibility with oldest possible v...
• 32bd71e [ci] add Python 3.11 test coverage (#5922)
• 2b74e9f [ci] increase valgrind timeout to 6 hours (#5953)
• e4658e1 [docs] Add scikit-learn for intersphinx (fixes #5954) (#5956)
• 9f78cce move LightGBM-vendored json11 into a LightGBM-specific namespace (fixes #5944...
• Additional commits viewable in compare view

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[dependabot]

Superseded by #492.