85 lines
3.5 KiB
JSON
85 lines
3.5 KiB
JSON
|
{
|
||
|
|
"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"
|
||
|
|
}
|