Bump scipy minimum required version to 1.14.0.

[csadorf]

Addresses rapidsai/build-planning#247

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📝 Walkthrough

Walkthrough

Updated minimum SciPy version from >=1.13.0 to >=1.14.0 across conda environment YAMLs, dependency manifests, documentation, and the Python package pyproject; also raised documented scikit-learn and treelite version constraints.

Changes

Cohort / File(s)	Summary
Conda environment specs conda/environments/all_cuda-129_arch-aarch64.yaml, conda/environments/all_cuda-129_arch-x86_64.yaml, conda/environments/all_cuda-131_arch-aarch64.yaml, conda/environments/all_cuda-131_arch-x86_64.yaml	Bumped scipy minimum from >=1.13.0 to >=1.14.0.
Dependency manifests dependencies.yaml, python/cuml/pyproject.toml	Updated scipy requirement to >=1.14.0 in dependency declarations.
Documentation docs/source/supported_versions.rst	Raised documented minimums: scipy to >=1.14.0, scikit-learn to >=1.5, and adjusted treelite to >=4.6.1,<5.0.0.

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10 minutes

Suggested reviewers

• bdice
• divyegala

🚥 Pre-merge checks | ✅ 3

✅ Passed checks (3 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title clearly and accurately describes the main change: bumping scipy's minimum required version to 1.14.0, which is reflected across all modified dependency files.
Description check	✅ Passed	The description references a specific GitHub issue that addresses the purpose of the changes, confirming the PR is related to updating scipy version requirements.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.

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⚠️ Outside diff range comments (1)

docs/source/supported_versions.rst (1)

13-19: ⚠️ Potential issue | 🟠 Major

Update stale dependency version constraints in documentation.

The documentation lists outdated version requirements:

• scikit-learn>=1.4 should be scikit-learn>=1.5 (per dependencies.yaml:330, pyproject.toml:96)
• treelite==4.4.1 should be treelite>=4.6.1,<5.0.0 (per dependencies.yaml:319, pyproject.toml:98)
• scipy>=1.14.0 is correct

Proposed docs fix

 * **NumPy**: >=1.23,<3.0a0
-* **scikit-learn**: >=1.4
+* **scikit-learn**: >=1.5
 * **scipy**: >=1.14.0
 * **numba**: >=0.60.0,<0.62.0a0
 * **cupy**: cupy-cuda12x>=13.6.0 (CUDA 12), cupy-cuda13x>=13.6.0 (CUDA 13)
-* **treelite**: ==4.4.1
+* **treelite**: >=4.6.1,<5.0.0

🤖 Prompt for AI Agents

Verify each finding against the current code and only fix it if needed.

In `@docs/source/supported_versions.rst` around lines 13 - 19, Update the stale
version constraints in the supported_versions list: change the scikit-learn
entry from "scikit-learn: >=1.4" to "scikit-learn: >=1.5" and replace the
treelite entry from "treelite: ==4.4.1" to "treelite: >=4.6.1,<5.0.0"; leave
NumPy, scipy, numba and cupy entries unchanged. Locate and edit the lines
containing the package names (e.g., the "scikit-learn" and "treelite" list
items) in supported_versions.rst so they match the versions declared in
dependencies.yaml and pyproject.toml.

🤖 Prompt for all review comments with AI agents

Verify each finding against the current code and only fix it if needed.

Outside diff comments:
In `@docs/source/supported_versions.rst`:
- Around line 13-19: Update the stale version constraints in the
supported_versions list: change the scikit-learn entry from "scikit-learn:
>=1.4" to "scikit-learn: >=1.5" and replace the treelite entry from "treelite:
==4.4.1" to "treelite: >=4.6.1,<5.0.0"; leave NumPy, scipy, numba and cupy
entries unchanged. Locate and edit the lines containing the package names (e.g.,
the "scikit-learn" and "treelite" list items) in supported_versions.rst so they
match the versions declared in dependencies.yaml and pyproject.toml.

---

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Run ID: e2bc87b0-1c15-47f4-9948-24f9e90bbaee

📥 Commits

Reviewing files that changed from the base of the PR and between 1e6dfb7 and f917177.

📒 Files selected for processing (7)

• conda/environments/all_cuda-129_arch-aarch64.yaml
• conda/environments/all_cuda-129_arch-x86_64.yaml
• conda/environments/all_cuda-131_arch-aarch64.yaml
• conda/environments/all_cuda-131_arch-x86_64.yaml
• dependencies.yaml
• docs/source/supported_versions.rst
• python/cuml/pyproject.toml

[jcrist]

[gforsyth]

Also need to bump it in the recipe.yaml file (sorry that isn't covered by the dependency generator)

[jcrist]

Ope, nice catch. Should be updated now.

[jcrist]

/merge