Issue during the train

[fenglixa]

Average abstains across documents: 2.61
Average unique votes per document: 1.51
Abstains: True
Using device: cpu
Computing O...
Estimating \mu...
[1000 epo]: TRAIN:[loss=5.022]
[2000 epo]: TRAIN:[loss=4.516]
[3000 epo]: TRAIN:[loss=4.017]
[4000 epo]: TRAIN:[loss=3.548]
[5000 epo]: TRAIN:[loss=3.127]
[6000 epo]: TRAIN:[loss=2.761]
[7000 epo]: TRAIN:[loss=2.452]
[8000 epo]: TRAIN:[loss=2.194]
[9000 epo]: TRAIN:[loss=1.977]
[10000 epo]: TRAIN:[loss=1.792]
Finished Training
Trained Label Model Metrics (No deps):
Traceback (most recent call last):
  File "run_profiler.py", line 476, in <module>
    main()
  File "run_profiler.py", line 472, in main
    run_experiment(profiler_args)
  File "run_profiler.py", line 315, in run_experiment
    num_toks, success = run_profiler(
  File "/root/test/evaporate/src/profiler.py", line 676, in run_profiler
    file2metadata, num_toks = combine_extractions(
  File "/root/test/evaporate/src/profiler.py", line 158, in combine_extractions
    preds, used_deps, missing_files = run_ws(
  File "/root/test/evaporate/src/./weak_supervision/run_ws.py", line 219, in run_ws
    scores, preds = label_model.score(
  File "/root/test/evaporate/metal-evap/metal/classifier.py", line 134, in score
    Y_p, Y, Y_s = self._get_predictions(
  File "/root/test/evaporate/metal-evap/metal/classifier.py", line 597, in _get_predictions
    Y_pb, Y_sb = self.predict(
  File "/root/test/evaporate/metal-evap/metal/classifier.py", line 100, in predict
    Y_p = self._break_ties(Y_s, break_ties).astype(np.int)
  File "/root/anaconda3/envs/evaporate/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'int'.
`np.int` was a deprecated alias for the builtin `int`. To avoid this error in existing code, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

[fenglixa]

Fixed by Modify classifier.py line 100, from np.int to np.int_

# diff metal-evap/metal/classifier.py metal-evap/metal/classifier.py.org
100c100
<         Y_p = self._break_ties(Y_s, break_ties).astype(np.int_)
---
>         Y_p = self._break_ties(Y_s, break_ties).astype(np.int)

[simran-arora]

Hi is your issue fixed?