{
  "repodata": {
    "build": "py313h06a4308_1",
    "build_number": 1,
    "constrains": [
      "tensorflow >=2.16.1,<3",
      "keras >=3.3.3,<4",
      "pandas >=2.0.3,<4"
    ],
    "depends": [
      "joblib >=1.2.0,<2",
      "numpy >=1.25.2,<3",
      "python >=3.13,<3.14.0a0",
      "python_abi 3.13.* *_cp313",
      "scikit-learn >=1.4.2,<2",
      "scipy >=1.11.4,<2",
      "sklearn-compat >=0.1.5,<0.2",
      "threadpoolctl >=2.0.0,<4"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "5718b7778a0af9b3b302a8ee5db4ffa1",
    "name": "imbalanced-learn",
    "sha256": "ef27e03ac4ebab9ddc158a92a7a100ac361e716f62e493414149f6aadb23a3aa",
    "size": 371745,
    "subdir": "linux-64",
    "timestamp": 1777469829336,
    "version": "0.14.1"
  },
  "s3": "builds/ci/prefect/PzqlZ_BxRiSCmjPWYl-WsA/1777470064/linux-64/imbalanced-learn-0.14.1-py313h06a4308_1.conda",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "84304c8173b2773a7f5b857287265086c19d66f8ad928d6c3a616fd4b395f2b0fe730968e758130e0882d356cca7613fa00691cdaef7523c05f34eccdc528405"
  }
}