{
  "repodata": {
    "build": "py310haa95532_0",
    "build_number": 0,
    "constrains": [
      "pandas >=2.0.3,<4",
      "tensorflow >=2.16.1,<3",
      "keras >=3.3.3,<4"
    ],
    "depends": [
      "joblib >=1.2.0,<2",
      "numpy >=1.25.2,<3",
      "python >=3.10,<3.11.0a0",
      "scikit-learn >=1.4.2,<2",
      "scipy >=1.11.4,<2",
      "sklearn-compat >=0.1.6,<0.2",
      "threadpoolctl >=2.0.0,<4"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "e0d884cb9292294a62955516f5f8eb6b",
    "name": "imbalanced-learn",
    "sha256": "11fb1d8053b77c8f8d154f197cbc5148202878bc61d487954bd7c8bea81708a4",
    "size": 319127,
    "subdir": "win-64",
    "timestamp": 1783711743301,
    "version": "0.14.2"
  },
  "s3": "builds/ci/prefect/K8Sx4EEwRA2ghepDpLND4g/1783711808/win-64/imbalanced-learn-0.14.2-py310haa95532_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "de5d694ce808253d40c98c9b3fe30050a32073926337ee3399448e305a0fe5b94b002f89cbaa28fe93a1d1e10af355b791e299c1bd363426af1c1435caadda0f"
  }
}