{
  "artifacts": [],
  "command": "my_main",
  "experiment": {
    "base_dir": "/Users/patrycjalazna/Desktop/inzynieria-uczenia-maszynowego/zadanka",
    "dependencies": [
      "keras-nightly==2.5.0.dev2021032900",
      "numpy==1.19.5",
      "pandas==1.2.3",
      "sacred==0.8.2",
      "scikit-learn==0.24.1",
      "tensorflow==2.5.0rc1"
    ],
    "mainfile": "sacred-training.py",
    "name": "file_observer",
    "repositories": [
      {
        "commit": "4fc45ed8ef6201f91d818362878d3155dfe4295e",
        "dirty": false,
        "url": "https://git.wmi.amu.edu.pl/s434742/ium_434742.git"
      }
    ],
    "sources": [
      [
        "sacred-training.py",
        "_sources/sacred-training_58bada47539aa2ee4591c9929ac8c60f.py"
      ]
    ]
  },
  "fail_trace": [
    "Traceback (most recent call last):\n",
    "  File \"/usr/local/lib/python3.9/site-packages/sacred/config/captured_function.py\", line 42, in captured_function\n    result = wrapped(*args, **kwargs)\n",
    "  File \"/Users/patrycjalazna/Desktop/inzynieria-uczenia-maszynowego/zadanka/sacred-training.py\", line 68, in my_main\n    print(prepare_model())\n",
    "  File \"/usr/local/lib/python3.9/site-packages/sacred/config/captured_function.py\", line 42, in captured_function\n    result = wrapped(*args, **kwargs)\n",
    "  File \"/Users/patrycjalazna/Desktop/inzynieria-uczenia-maszynowego/zadanka/sacred-training.py\", line 28, in prepare_model\n    avocado_train = pd.read_csv('avocado_train.csv')\n",
    "  File \"/usr/local/lib/python3.9/site-packages/pandas/io/parsers.py\", line 610, in read_csv\n    return _read(filepath_or_buffer, kwds)\n",
    "  File \"/usr/local/lib/python3.9/site-packages/pandas/io/parsers.py\", line 462, in _read\n    parser = TextFileReader(filepath_or_buffer, **kwds)\n",
    "  File \"/usr/local/lib/python3.9/site-packages/pandas/io/parsers.py\", line 819, in __init__\n    self._engine = self._make_engine(self.engine)\n",
    "  File \"/usr/local/lib/python3.9/site-packages/pandas/io/parsers.py\", line 1050, in _make_engine\n    return mapping[engine](self.f, **self.options)  # type: ignore[call-arg]\n",
    "  File \"/usr/local/lib/python3.9/site-packages/pandas/io/parsers.py\", line 1867, in __init__\n    self._open_handles(src, kwds)\n",
    "  File \"/usr/local/lib/python3.9/site-packages/pandas/io/parsers.py\", line 1362, in _open_handles\n    self.handles = get_handle(\n",
    "  File \"/usr/local/lib/python3.9/site-packages/pandas/io/common.py\", line 642, in get_handle\n    handle = open(\n",
    "FileNotFoundError: [Errno 2] No such file or directory: 'avocado_train.csv'\n"
  ],
  "heartbeat": "2021-05-14T18:58:43.968999",
  "host": {
    "ENV": {},
    "cpu": "Intel(R) Core(TM) i5-5287U CPU @ 2.90GHz",
    "hostname": "patrycjalazna.local",
    "os": [
      "Darwin",
      "macOS-10.15.7-x86_64-i386-64bit"
    ],
    "python_version": "3.9.4"
  },
  "meta": {
    "command": "my_main",
    "options": {
      "--beat-interval": null,
      "--capture": null,
      "--comment": null,
      "--debug": false,
      "--enforce_clean": false,
      "--file_storage": null,
      "--force": false,
      "--help": false,
      "--loglevel": null,
      "--mongo_db": null,
      "--name": null,
      "--pdb": false,
      "--print-config": false,
      "--priority": null,
      "--queue": false,
      "--s3": null,
      "--sql": null,
      "--tiny_db": null,
      "--unobserved": false
    }
  },
  "resources": [],
  "result": null,
  "start_time": "2021-05-14T18:58:43.955201",
  "status": "FAILED",
  "stop_time": "2021-05-14T18:58:43.972665"
}