{
  "repodata": {
    "build": "py312hd43f75c_0",
    "build_number": 0,
    "constrains": [
      "pandas >=2.0.3,<4",
      "keras >=3.3.3,<4",
      "tensorflow >=2.16.1,<3"
    ],
    "depends": [
      "joblib >=1.2.0,<2",
      "numpy >=1.25.2,<3",
      "python >=3.12,<3.13.0a0",
      "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": "f2d73bb2412630a8d8bb05c213ef3277",
    "name": "imbalanced-learn",
    "sha256": "3df45c282a5ed07ef9199f514e06cf395aa3dbf967a4305f4edc64dd8c8b696b",
    "size": 362217,
    "subdir": "linux-aarch64",
    "timestamp": 1783712777791,
    "version": "0.14.2"
  },
  "s3": "builds/ci/prefect/bmk-tn91Tc2NarpBn7r5pQ/1783713036/linux-aarch64/imbalanced-learn-0.14.2-py312hd43f75c_0.conda",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "603a8bcb63473157a751515e74f2b7b143db2deddb5eb0ba66f437a6c96ca02361555188f2095e4d00cab2b7d157693cc3c70b59cdccdb0195e921f7423ebc05"
  }
}