{
  "repodata": {
    "build": "py312hd43f75c_0",
    "build_number": 0,
    "constrains": [
      "fugue >=0.9.4",
      "xgboost_ray >=0.1.19",
      "xgboost >=2.0.0,<2.1.0",
      "pyspark >=3.3"
    ],
    "depends": [
      "cloudpickle",
      "coreforecast >=0.0.15",
      "fsspec",
      "narwhals",
      "optuna",
      "pandas <3.0",
      "python >=3.12,<3.13.0a0",
      "scikit-learn",
      "utilsforecast >=0.2.9"
    ],
    "license": "Apache-2.0",
    "license_family": "APACHE",
    "md5": "990016f486c8a771cef8dfe751588808",
    "name": "mlforecast",
    "sha256": "80648ca78f291208d9adff85a28140da5f1c027e4192b0ab4750361e9e1fc9f6",
    "size": 561619,
    "subdir": "linux-aarch64",
    "timestamp": 1784186232175,
    "version": "1.1.0"
  },
  "s3": "builds/ci/prefect/CEG0XgsTQ9ucwbe9gs87NA/1784186384/linux-aarch64/mlforecast-1.1.0-py312hd43f75c_0.conda",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "02d05222b128e3c6bcd239cfe57602f05b64b96c59de3ee46d774a5604480c62ba222b31a9f936301722f362a090f6af0d5b9386b9fe4940c57b1327ee44110c"
  }
}