From a4fe514f50bf7568846296d0ede26d1ec0209a9d Mon Sep 17 00:00:00 2001
From: Kevin Klein <7267523+kklein@users.noreply.github.com>
Date: Sat, 15 Feb 2025 13:21:21 +0100
Subject: [PATCH] Lower-bound xgboost to newest release. (#103)

* Lower-bound xgboost to newest release.

* Adapt to new default value.
---
 metalearners/grid_search.py |    2 +-
 metalearners/metalearner.py |    2 +-
 pixi.lock                   | 1231 ++++++++++++++++++++---------------
 pixi.toml                   |    6 +-
 tests/test__utils.py        |    4 +-
 5 files changed, 702 insertions(+), 543 deletions(-)

diff --git a/metalearners/grid_search.py b/metalearners/grid_search.py
index 4169f0e..b9fcce1 100644
--- a/metalearners/grid_search.py
+++ b/metalearners/grid_search.py
@@ -1,4 +1,4 @@
-# Copyright (c) QuantCo 2024-2024
+# Copyright (c) QuantCo 2024-2025
 # SPDX-License-Identifier: BSD-3-Clause
 
 import time
diff --git a/metalearners/metalearner.py b/metalearners/metalearner.py
index 4024341..d90371b 100644
--- a/metalearners/metalearner.py
+++ b/metalearners/metalearner.py
@@ -1161,7 +1161,7 @@ def _default_scoring() -> Scoring:
 
     @property
     def init_args(self) -> dict[str, Any]:
-        """Create initiliazation parameters for a new MetaLearner.
+        """Create initialization parameters for a new MetaLearner.
 
         Importantly, this does not copy further internal state, such as the weights or
         parameters of trained base models.
diff --git a/pixi.lock b/pixi.lock
index 826ec66..74fea80 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -98,7 +98,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-14.2.0-hc0a3c3a_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-14.2.0-h4852527_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.7.0-hd9ff511_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libtorch-2.5.1-cpu_generic_h90be84d_13.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libtorch-2.6.0-cpu_generic_haed06de_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.38.1-h0b41bf4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libuv-1.50.0-hb9d3cd8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libwebp-base-1.5.0-h851e524_0.conda
@@ -127,6 +127,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.3-h5fbd93e_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.4.1-h7b32b05_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/opt_einsum-3.4.0-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/optree-0.14.0-py310h3788b33_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.2-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/pandas-2.2.3-py310h5eaa309_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/pango-1.56.1-h861ebed_0.conda
@@ -155,7 +156,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-tzdata-2025.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-utils-3.9.1-pyhff2d567_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.10-5_cp310.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/pytorch-2.5.1-cpu_generic_py310_h1535f1e_13.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/pytorch-2.6.0-cpu_generic_py310_hb0ad038_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytz-2024.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/qhull-2020.2-h434a139_5.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda
@@ -174,6 +175,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/threadpoolctl-3.5.0-pyhc1e730c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h4845f30_101.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tqdm-4.67.1-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2025a-h78e105d_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/unicodedata2-16.0.0-py310ha75aee5_0.conda
@@ -266,7 +268,6 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libgfortran-5.0.0-13_2_0_h97931a8_3.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libgfortran5-13.2.0-h2873a65_3.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libglib-2.82.2-h5c976ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libhwloc-2.11.2-default_h4cdd727_1001.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libiconv-1.17-hd75f5a5_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libintl-0.23.1-h27064b9_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libjpeg-turbo-3.0.0-h0dc2134_1.conda
@@ -280,7 +281,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-64/librsvg-2.58.4-h21a6cfa_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libsqlite-3.48.0-hdb6dae5_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libtiff-4.7.0-hb77a491_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libtorch-2.5.1-cpu_mkl_h7edb32c_108.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libtorch-2.6.0-cpu_generic_he88bcad_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libuv-1.50.0-h4cb831e_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libwebp-base-1.5.0-h6cf52b4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libxcb-1.17.0-hf1f96e2_0.conda
@@ -292,7 +293,6 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-64/llvmlite-0.44.0-py310hb13c577_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/markupsafe-3.0.2-py310h8e2f543_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/matplotlib-base-3.10.0-py310h1671ce3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/mkl-2023.2.0-h54c2260_50500.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/mpc-1.3.1-h9d8efa1_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/mpfr-4.2.1-haed47dc_3.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/mpmath-1.3.0-pyhd8ed1ab_1.conda
@@ -300,12 +300,14 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/munkres-1.1.4-pyh9f0ad1d_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-64/ncurses-6.5-h0622a9a_3.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/networkx-3.4.2-pyh267e887_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/nomkl-1.0-h5ca1d4c_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-64/numba-0.61.0-py310h6fcc139_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/numpy-1.26.4-py310h4bfa8fc_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/opencl-headers-2024.10.24-h240833e_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/openjpeg-2.5.3-h7fd6d84_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/openssl-3.4.1-hc426f3f_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/opt_einsum-3.4.0-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/optree-0.14.0-py310hf166250_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.2-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/pandas-2.2.3-py310ha53a654_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/pango-1.56.1-hf94f63b_0.conda
@@ -320,6 +322,8 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/osx-64/pthread-stubs-0.4-h00291cd_1002.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/py-xgboost-2.1.4-cpu_pyh43b6f25_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pybind11-2.13.6-pyh1ec8472_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pybind11-global-2.13.6-pyh415d2e4_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/pydot-3.0.4-py310h2ec42d9_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pydotplus-2.0.2-pyhd8ed1ab_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygam-0.9.1-pyhd8ed1ab_1.conda
@@ -332,7 +336,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-tzdata-2025.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-utils-3.9.1-pyhff2d567_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/python_abi-3.10-5_cp310.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/pytorch-2.5.1-cpu_mkl_py310_h3d4b842_108.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/pytorch-2.6.0-cpu_generic_py310_hc06c4b9_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytz-2024.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/qhull-2020.2-h3c5361c_5.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/readline-8.2-h9e318b2_1.conda
@@ -348,10 +352,10 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/noarch/sympy-1.13.3-pyh2585a3b_105.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tabulate-0.9.0-pyhd8ed1ab_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/tbb-2021.13.0-hb890de9_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/threadpoolctl-3.5.0-pyhc1e730c_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/tqdm-4.67.1-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_1.conda
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@@ -442,7 +446,7 @@ environments:
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-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libtorch-2.5.1-cpu_generic_h5d0aec3_13.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libtorch-2.6.0-cpu_generic_h4686571_0.conda
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@@ -468,6 +472,7 @@ environments:
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+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/optree-0.14.0-py310h7f4e7e6_1.conda
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-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pytorch-2.5.1-cpu_generic_py310_h3b0affc_13.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pytorch-2.6.0-cpu_generic_py310_h34801bc_0.conda
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@@ -592,7 +598,7 @@ environments:
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.12.8-h9e4cc4f_1_cpython.conda
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.5.2-py312h7a48858_1.conda
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-      - conda: https://conda.anaconda.org/conda-forge/osx-64/python-3.12.8-h9ccd52b_1_cpython.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/python-3.12.9-h9ccd52b_0_cpython.conda
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@@ -684,7 +690,7 @@ environments:
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-- conda: https://conda.anaconda.org/conda-forge/noarch/cpython-3.12.8-py312hd8ed1ab_1.conda
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-  - pytorch 2.5.1 cpu_generic_*_13
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+  - openblas * openmp_*
+  - pytorch-cpu ==2.6.0
   - pytorch-gpu ==99999999
-  - pytorch-cpu ==2.5.1
-  - pytorch 2.5.1 cpu_mkl_*_108
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   license: BSD-3-Clause
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@@ -12617,15 +12613,15 @@ packages:
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   - pytorch-gpu ==99999999
-  - pytorch-cpu ==2.5.1
-  - pytorch 2.5.1 cpu_generic_*_13
   - openblas * openmp_*
+  - pytorch 2.6.0 cpu_generic_*_0
+  - pytorch-cpu ==2.6.0
   arch: arm64
   platform: osx
   license: BSD-3-Clause
   license_family: BSD
-  size: 28337248
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   - libstdcxx >=13
-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
+  - python >=3.13,<3.14.0a0
+  - python_abi 3.13.* *_cp313
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   arch: x86_64
   platform: linux
   license: BSD-3-Clause
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-  - python >=3.13,<3.14.0a0
-  - python_abi 3.13.* *_cp313
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
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   arch: x86_64
   platform: osx
   license: BSD-3-Clause
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+  - python_abi 3.10.* *_cp310
+  - typing-extensions >=4.5
+  arch: x86_64
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+  license: Apache-2.0
+  license_family: Apache
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+  - python >=3.10,<3.11.0a0 *_cpython
+  - python_abi 3.10.* *_cp310
+  - typing-extensions >=4.5
+  arch: arm64
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+  license: Apache-2.0
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   - colorlog
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.12.8-h9e4cc4f_1_cpython.conda
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.12.9-h9e4cc4f_0_cpython.conda
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   - libffi >=3.4,<4.0a0
   - libgcc >=13
-  - liblzma >=5.6.3,<6.0a0
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-  - libsqlite >=3.47.0,<4.0a0
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   license: Python-2.0
-  size: 31565686
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.13.2-hf636f53_100_cp313.conda
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+  - python_abi 3.13.* *_cp313
+  - readline >=8.2,<9.0a0
+  - tk >=8.6.13,<8.7.0a0
+  - tzdata
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 - conda: https://conda.anaconda.org/conda-forge/osx-64/python-3.10.16-h5acdff8_1_cpython.conda
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-  python_site_packages_path: lib/python3.13/site-packages
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-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/python-3.12.8-hc22306f_1_cpython.conda
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   - python_abi 3.10.* *_cp310
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   - libprotobuf >=5.28.3,<5.28.4.0a0
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+- conda: https://conda.anaconda.org/conda-forge/win-64/scikit-learn-1.6.1-py311hdcb8d17_0.conda
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+  md5: c3a6f96c83982aac6ebcc8c98518521c
   depends:
   - joblib >=1.2.0
   - numpy >=1.19,<3
@@ -20157,11 +20331,11 @@ packages:
   platform: win
   license: BSD-3-Clause
   license_family: BSD
-  size: 9491082
-  timestamp: 1726083711620
-- conda: https://conda.anaconda.org/conda-forge/win-64/scikit-learn-1.5.2-py312h816cc57_1.conda
-  sha256: 7c64942d20339e965c22e27ceca72e0f0ff7d32962d9621903c3812714835f4f
-  md5: e2b5c3288bd3f8e89a46b98f8d9e8768
+  size: 9617909
+  timestamp: 1736497581804
+- conda: https://conda.anaconda.org/conda-forge/win-64/scikit-learn-1.6.1-py312h816cc57_0.conda
+  sha256: a35e90775f8eb213fe300747a5d9f242830fdde768871e6d194e27bbc0af0fff
+  md5: 7d3fcb33b1b3ce559d8e83699504d9ee
   depends:
   - joblib >=1.2.0
   - numpy >=1.19,<3
@@ -20176,8 +20350,8 @@ packages:
   platform: win
   license: BSD-3-Clause
   license_family: BSD
-  size: 9215977
-  timestamp: 1726083836746
+  size: 9503776
+  timestamp: 1736497647297
 - conda: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.15.1-py310hfa6ec8c_0.conda
   sha256: 9941f3bc9af712e60ce7b3910f9da0298f6b6f4c0b4fbc85f43b3db6342e21e4
   md5: a24baa04ee53ee3078ac1856887c3dea
@@ -21976,19 +22150,6 @@ packages:
   license_family: MIT
   size: 3862809
   timestamp: 1727787217223
-- conda: https://conda.anaconda.org/conda-forge/osx-64/tbb-2021.13.0-hb890de9_1.conda
-  sha256: 54dacd0ed9f980674659dd84cecc10fb1c88b6a53c59e99d0b65f19c3e104c85
-  md5: 284892942cdddfded53d090050b639a5
-  depends:
-  - __osx >=10.13
-  - libcxx >=18
-  - libhwloc >=2.11.2,<2.11.3.0a0
-  arch: x86_64
-  platform: osx
-  license: Apache-2.0
-  license_family: APACHE
-  size: 158197
-  timestamp: 1732982743895
 - conda: https://conda.anaconda.org/conda-forge/win-64/tbb-2021.13.0-h62715c5_1.conda
   sha256: 03cc5442046485b03dd1120d0f49d35a7e522930a2ab82f275e938e17b07b302
   md5: 9190dd0a23d925f7602f9628b3aed511
@@ -22314,9 +22475,9 @@ packages:
   license_family: PSF
   size: 39637
   timestamp: 1733188758212
-- conda: https://conda.anaconda.org/conda-forge/linux-64/typos-1.29.5-h8fae777_0.conda
-  sha256: f9536c8ba15a79e19ba5e0e6a95ee6e853ffa6ab66922ef15851dc5751d5ea82
-  md5: 97a61e323d6826701b006fa58f8ac71e
+- conda: https://conda.anaconda.org/conda-forge/linux-64/typos-1.29.7-h8fae777_0.conda
+  sha256: 212bc86d4bc59a2aa4fa297b90721281666af813d6cbffb2144a15f4820a7ce2
+  md5: e5d1890aeadc0e383a259da2737dba1f
   depends:
   - __glibc >=2.17,<3.0.a0
   - libgcc >=13
@@ -22326,11 +22487,11 @@ packages:
   platform: linux
   license: MIT
   license_family: MIT
-  size: 3419080
-  timestamp: 1738325940696
-- conda: https://conda.anaconda.org/conda-forge/osx-64/typos-1.29.5-h371c88c_0.conda
-  sha256: 8aafefdacdafd84c08f110b86ed30529cbf818157a0443fb0150c19da48b68a1
-  md5: 0c4611aeb9875111dfdce05c991148ec
+  size: 3454383
+  timestamp: 1739486823859
+- conda: https://conda.anaconda.org/conda-forge/osx-64/typos-1.29.7-h371c88c_0.conda
+  sha256: 62cc8db26856c5f50b9c0a2cce3a0e1455ad28811966e11d9bbdde676f4e850d
+  md5: f3a6b365bbdebf04205dadc881103aae
   depends:
   - __osx >=10.13
   constrains:
@@ -22339,11 +22500,11 @@ packages:
   platform: osx
   license: MIT
   license_family: MIT
-  size: 2745058
-  timestamp: 1738326044395
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/typos-1.29.5-h0716509_0.conda
-  sha256: 3710d3bc0e7a98fc9681e834e179a72eac9cc736673113273e2ff3fd2cb9fa05
-  md5: 99c81356ab27270f97018c2d3f84627f
+  size: 2752847
+  timestamp: 1739487115199
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/typos-1.29.7-h0716509_0.conda
+  sha256: 5ca3411f8632c93782087df1bda6c5f03e50b8a6a2b760ffcc788ce6e73b23b1
+  md5: f5aab054787e8e3828820bbf3c54c8c8
   depends:
   - __osx >=11.0
   constrains:
@@ -22352,11 +22513,11 @@ packages:
   platform: osx
   license: MIT
   license_family: MIT
-  size: 2702847
-  timestamp: 1738326061750
-- conda: https://conda.anaconda.org/conda-forge/win-64/typos-1.29.5-ha073cba_0.conda
-  sha256: d1ddc4bad7d58269890d4a44e54c8aa595a7ea74f55a92f572738c463a3f2ddd
-  md5: 4d6d3e144040609131dd3cf86a615447
+  size: 2702907
+  timestamp: 1739487198353
+- conda: https://conda.anaconda.org/conda-forge/win-64/typos-1.29.7-ha073cba_0.conda
+  sha256: 169a400ec21716c6b3c0a9cea70effdb2d820b49548dc7b460bb60debddf3f5a
+  md5: e7a4e146e34c825e0733efa991fe6c35
   depends:
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
@@ -22365,8 +22526,8 @@ packages:
   platform: win
   license: MIT
   license_family: MIT
-  size: 2573529
-  timestamp: 1738326409525
+  size: 2571040
+  timestamp: 1739487420488
 - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2025a-h78e105d_0.conda
   sha256: c4b1ae8a2931fe9b274c44af29c5475a85b37693999f8c792dad0f8c6734b1de
   md5: dbcace4706afdfb7eb891f7b37d07c04
@@ -22383,37 +22544,37 @@ packages:
   license: LicenseRef-MicrosoftWindowsSDK10
   size: 559710
   timestamp: 1728377334097
-- conda: https://conda.anaconda.org/conda-forge/linux-64/ukkonen-1.0.1-py312h68727a3_5.conda
-  sha256: 9fb020083a7f4fee41f6ece0f4840f59739b3e249f157c8a407bb374ffb733b5
-  md5: f9664ee31aed96c85b7319ab0a693341
+- conda: https://conda.anaconda.org/conda-forge/linux-64/ukkonen-1.0.1-py313h33d0bda_5.conda
+  sha256: 4edcb6a933bb8c03099ab2136118d5e5c25285e3fd2b0ff0fa781916c53a1fb7
+  md5: 5bcffe10a500755da4a71cc0fb62a420
   depends:
   - __glibc >=2.17,<3.0.a0
   - cffi
   - libgcc >=13
   - libstdcxx >=13
-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
+  - python >=3.13.0rc1,<3.14.0a0
+  - python_abi 3.13.* *_cp313
   arch: x86_64
   platform: linux
   license: MIT
   license_family: MIT
-  size: 13904
-  timestamp: 1725784191021
-- conda: https://conda.anaconda.org/conda-forge/osx-64/ukkonen-1.0.1-py313h0c4e38b_5.conda
-  sha256: 6abf14f984a1fc3641908cb7e96ba8f2ce56e6f81069852b384e1755f8f5225e
-  md5: 6185cafe9e489071688304666923c2ad
+  size: 13916
+  timestamp: 1725784177558
+- conda: https://conda.anaconda.org/conda-forge/osx-64/ukkonen-1.0.1-py312hc5c4d5f_5.conda
+  sha256: f6433143294c1ca52410bf8bbca6029a04f2061588d32e6d2b67c7fd886bc4e0
+  md5: f270aa502d8817e9cb3eb33541f78418
   depends:
   - __osx >=10.13
   - cffi
   - libcxx >=17
-  - python >=3.13.0rc1,<3.14.0a0
-  - python_abi 3.13.* *_cp313
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
   arch: x86_64
   platform: osx
   license: MIT
   license_family: MIT
-  size: 13126
-  timestamp: 1725784265187
+  size: 13031
+  timestamp: 1725784199719
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ukkonen-1.0.1-py313hf9c7212_5.conda
   sha256: 482eac475928c031948790647ae10c2cb1d4a779c2e8f35f5fd1925561b13203
   md5: 8ddba23e26957f0afe5fc9236c73124a
diff --git a/pixi.toml b/pixi.toml
index 3f222fb..757db0b 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -11,9 +11,7 @@ python = ">=3.10"
 shap = "*"
 matplotlib-base = "*"
 joblib = ">=1.2.0"
-# Remove the upper bound once this xgboost problem
-# has been fixed: https://github.com/dmlc/xgboost/issues/11093
-scikit-learn = ">=1.4,<1.6"
+scikit-learn = ">=1.4"
 numpy = "*"
 pandas = "*"
 
@@ -29,7 +27,7 @@ typing-extensions = "*"
 ipykernel = "*"
 ipywidgets = "*"
 lightgbm = "*"
-xgboost = "*"
+xgboost = ">=2.1.4"
 lifelines = "*"
 onnx = "*"
 onnxmltools = "*"
diff --git a/tests/test__utils.py b/tests/test__utils.py
index e169c02..483a5f0 100644
--- a/tests/test__utils.py
+++ b/tests/test__utils.py
@@ -179,9 +179,9 @@ def test_convert_treatment_raise(use_pd):
     [
         (LinearRegression(), False),
         (
-            HistGradientBoostingClassifier(),
+            HistGradientBoostingClassifier(categorical_features=None),
             False,
-        ),  # The default for categorical_features will change to "from_dtype" in v1.6
+        ),
         (HistGradientBoostingClassifier(categorical_features="from_dtype"), True),
         (LGBMRegressor(), True),
         (XGBRegressor(), False),