{
  "repodata": {
    "build": "py313hd43f75c_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 >=3.13,<3.14.0a0",
      "python_abi 3.13.* *_cp313",
      "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": "b1110609f06aaaca9ae69fbb3c5d6e2b",
    "name": "imbalanced-learn",
    "sha256": "4812ecc7dfdfa15ce83e260005f9a0e9c1a373298e536110e0cf39cce0ee218e",
    "size": 373844,
    "subdir": "linux-aarch64",
    "timestamp": 1783711717196,
    "version": "0.14.2"
  },
  "s3": "builds/ci/prefect/K8Sx4EEwRA2ghepDpLND4g/1783711819/linux-aarch64/imbalanced-learn-0.14.2-py313hd43f75c_0.conda",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "6b5f6d88f2c1b5d267842ddd85eadf310aa2bc0761565db176dcebcce42ca7d60395978b17785d83942e21ea0a9bcb93a19c38c6f2ce7c0850f2efbffe450208"
  }
}