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