Update skl2onnx requirement from <1.20,>=1.19.1 to >=1.19.1,<1.21 #256
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Updates the requirements on [skl2onnx](https://github.com/onnx/sklearn-onnx) to permit the latest version. - [Release notes](https://github.com/onnx/sklearn-onnx/releases) - [Changelog](https://github.com/onnx/sklearn-onnx/blob/main/CHANGELOGS.md) - [Commits](onnx/sklearn-onnx@v1.19.1...1.20.0) --- updated-dependencies: - dependency-name: skl2onnx dependency-version: 1.20.0 dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com>
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Updates the requirements on skl2onnx to permit the latest version.
Release notes
Sourced from skl2onnx's releases.
Changelog
Sourced from skl2onnx's changelog.
... (truncated)
Commits
c2c66f8improves documentation (#1221)e50c954fix documentation (#1220)5abadf9support scikit-learn==1.8.0 (#1219)b7fc5c7When creating OrdinalExporter, respect infrequent categories attribute (dupli...153328aAdd onnx==1.19.0 to CI (#1210)0a450e2Add__sklearn_is_fitted__to CastTransformer (#1209)4f8b8e2On inputs/outputs validation errors, allow caller to inspect them (#1205)8b1336eRemove strong dependency on packaging (#1206)087ba99Add support for loss='exponential' in GradientBoostingClassifier (#1193)1fd6cb3Fix one example in the documentation (#1202)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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