Bump xgboost from 0.90 to 1.7.6#63
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Bumps [xgboost](https://github.com/dmlc/xgboost) from 0.90 to 1.7.6. - [Release notes](https://github.com/dmlc/xgboost/releases) - [Changelog](https://github.com/dmlc/xgboost/blob/master/NEWS.md) - [Commits](dmlc/xgboost@v0.90...v1.7.6) --- updated-dependencies: - dependency-name: xgboost dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] <support@github.com>
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Superseded by #73. |
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Bumps xgboost from 0.90 to 1.7.6.
Release notes
Sourced from xgboost's releases.
... (truncated)
Changelog
Sourced from xgboost's changelog.
... (truncated)
Commits
36eb41cBump version to 1.7.6 (#9305)39ddf40[backport] Optimize prediction with QuantileDMatrix. (#9096) (#9303)573f1c7[backport] Fix monotone constraints on CPU. (#9122) (#9287)abc80d2[backport] Improve doxygen (#8959) (#9284)e882fb3[backport] [spark] Make spark model have the same UID with its estimator (#90...3218f6c[backport] Disable dense opt for distributed training. (#9272) (#9288)a962611Disable SHAP test on 1.7 (#9290)14476e8[backport] Fix tests with pandas 2.0. (#9014) (#9289)03f3879[backport] [doc] fix the cudf installation [skip ci] (#9106) (#9286)21d95f3[backport] [doc][R] Update link. (#8998) (#9001)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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