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  "conda_build_version": "3.21.8",
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  "conda_version": "4.11.0",
  "description": "XGBoost is an optimized distributed gradient boosting library designed to be highly efficient,\nflexible and portable. It implements machine learning algorithms under the Gradient Boosting\nframework. XGBoost provides a parallel tree boosting (also known as GBDT, GBM) that solve many\ndata science problems in a fast and accurate way. The same code runs on major distributed\nenvironment (Hadoop, SGE, MPI) and can solve problems beyond billions of examples.\n",
  "dev_url": "https://github.com/dmlc/xgboost/",
  "doc_url": "https://xgboost.readthedocs.io/",
  "env_vars": {
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  },
  "extra": {
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    "feedstock-name": "xgboost",
    "final": true,
    "parent_recipe": {
      "name": "xgboost-split",
      "path": "D:\\a\\1\\s\\recipe",
      "version": "1.5.1"
    },
    "recipe-maintainers": [
      "aldanor",
      "fhoehle",
      "jakirkham",
      "ksangeek",
      "xhochy"
    ]
  },
  "home": "https://github.com/dmlc/xgboost",
  "identifiers": [],
  "keywords": [],
  "license": "Apache-2.0",
  "license_file": "LICENSE",
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  "tags": []
}