Comments (2)
I reproduced the error and it seems to correspond to IPython storing sys.argv. When clearing the directory after importing sys, it works for me.
import sys; sys.path.append('..'); sys.argv=['']
from deepadots.
---------------------------------------------------------------------------
SystemExit Traceback (most recent call last)
<ipython-input-34-0377821d631a> in <module>()
1 import numpy as np
2 import pandas as pd
----> 3 from src.algorithms import LSTM_AD
~/Onedrive/HPI/Material/SS 2018/MP/MP-2018/src/algorithms/__init__.py in <module>()
4 from .donut import Donut
5 from .lstm_ad import LSTMAD
----> 6 from .lstm_enc_dec import LSTM_Enc_Dec
7
8 __all__ = ['Algorithm', 'DAGMM', 'Donut', 'RecurrentEBM', 'LSTMAD', 'LSTM_Enc_Dec']
~/Onedrive/HPI/Material/SS 2018/MP/MP-2018/src/algorithms/lstm_enc_dec.py in <module>()
12 import pandas as pd
13 from third_party.lstm_enc_dec.anomalyDetector import fit_norm_distribution_param
---> 14 from third_party.lstm_enc_dec import train_predictor
15 from third_party.lstm_enc_dec import anomaly_detection
16 from third_party.lstm_enc_dec import preprocess_data
~/Onedrive/HPI/Material/SS 2018/MP/MP-2018/third_party/lstm_enc_dec/train_predictor.py in <module>()
62 parser.add_argument('--prediction_window_size', type=int, default=10,
63 help='prediction_window_size')
---> 64 args = parser.parse_args()
65 # Set the random seed manually for reproducibility.
66 torch.manual_seed(args.seed)
/usr/local/Cellar/python/3.6.5/Frameworks/Python.framework/Versions/3.6/lib/python3.6/argparse.py in parse_args(self, args, namespace)
1731 if argv:
1732 msg = _('unrecognized arguments: %s')
-> 1733 self.error(msg % ' '.join(argv))
1734 return args
1735
/usr/local/Cellar/python/3.6.5/Frameworks/Python.framework/Versions/3.6/lib/python3.6/argparse.py in error(self, message)
2387 self.print_usage(_sys.stderr)
2388 args = {'prog': self.prog, 'message': message}
-> 2389 self.exit(2, _('%(prog)s: error: %(message)s\n') % args)
/usr/local/Cellar/python/3.6.5/Frameworks/Python.framework/Versions/3.6/lib/python3.6/argparse.py in exit(self, status, message)
2374 if message:
2375 self._print_message(message, _sys.stderr)
-> 2376 _sys.exit(status)
2377
2378 def error(self, message):
SystemExit: 2
usage: __main__.py [-h] [--data DATA] [--filename FILENAME] [--model MODEL]
[--augment_train_data AUGMENT_TRAIN_DATA] [--emsize EMSIZE]
[--nhid NHID] [--nlayers NLAYERS] [--res_connection]
[--lr LR] [--weight_decay WEIGHT_DECAY] [--clip CLIP]
[--epochs EPOCHS] [--batch_size N] [--eval_batch_size N]
[--bptt BPTT]
[--teacher_forcing_ratio TEACHER_FORCING_RATIO]
[--dropout DROPOUT] [--tied] [--seed SEED]
[--device DEVICE] [--log_interval N] [--save_interval N]
[--resume] [--pretrained]
[--prediction_window_size PREDICTION_WINDOW_SIZE]
__main__.py: error: unrecognized arguments: -f /Users/danthe/Library/Jupyter/runtime/kernel-c4b5debc-35f2-4a17-bcdf-584e04a8fe11.json
An exception has occurred, use %tb to see the full traceback.
SystemExit: 2
/usr/local/lib/python3.6/site-packages/IPython/core/interactiveshell.py:2971: UserWarning: To exit: use 'exit', 'quit', or Ctrl-D.
warn("To exit: use 'exit', 'quit', or Ctrl-D.", stacklevel=1)
Here's a more detailed traceback. The issue seems to be in third_party.train_predictor
which defines a ton of arguments at file level for whatever reason.
from deepadots.
Related Issues (20)
- Unify Architectures and Hyperparameters
- Plot forecasts and reconstructions
- Add Experiment: window-based vs. LSTM-based HOT 1
- Media
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- Link to the paper HOT 3
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- Performance issues in src/algorithms/donut.py(P2) HOT 1
- ModuleNotFoundError: No module named 'agots.generators' HOT 2
- Hello, how can I get the PR F1 score
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