bnaul / irregulartimeseriesautoencoderpaper Goto Github PK

Thanks for providing tools and data used in your research.

When trying to clone this repository the following error occurs:

Error downloading object: data/asas/full.pkl (d638076): Smudge error: Error downloading data/asas/full.pkl (d638076807600901ba136dbd0d250dd9111a3bb6a0772a3f5548aeb33647f524): batch response: This repository is over its data quota. Purchase more data packs to restore access.

Would it be possible to upload the data to an external server and upload the link here?

Thank you.

Trying to run the script on python 3 using the following command:

run survey_classifier.py --size 10 --num_layers 5 --model_type GRU --survey_files data/macho/full.pkl --drop_frac 0.5 --lr 0.0001 --sim_type train

gives me an error related to unpickling in the joblib.load line.
Has the pickling been done using python2?

KeyError Traceback (most recent call last)

/content/IrregularTimeSeriesAutoencoderPaper/survey_classifier.py in ()
104
105 if name == 'main':
--> 106 X, X_raw, Y, model, args = main()

4 frames

/content/IrregularTimeSeriesAutoencoderPaper/survey_classifier.py in main(args)
31 classes = ['RR_Lyrae_FM', 'W_Ursae_Maj', 'Classical_Cepheid',
32 'Beta_Persei', 'Semireg_PV']
---> 33 lc_lists = [joblib.load(f) for f in args.survey_files]
34 combined = [lc for lc_list in lc_lists for lc in lc_list]
35 combined = [lc for lc in combined if lc.label in classes]

/content/IrregularTimeSeriesAutoencoderPaper/survey_classifier.py in (.0)
31 classes = ['RR_Lyrae_FM', 'W_Ursae_Maj', 'Classical_Cepheid',
32 'Beta_Persei', 'Semireg_PV']
---> 33 lc_lists = [joblib.load(f) for f in args.survey_files]
34 combined = [lc for lc_list in lc_lists for lc in lc_list]
35 combined = [lc for lc in combined if lc.label in classes]

/usr/local/lib/python3.6/dist-packages/joblib/numpy_pickle.py in load(filename, mmap_mode)
596 return load_compatibility(fobj)
597
--> 598 obj = _unpickle(fobj, filename, mmap_mode)
599
600 return obj

/usr/local/lib/python3.6/dist-packages/joblib/numpy_pickle.py in _unpickle(fobj, filename, mmap_mode)
524 obj = None
525 try:
--> 526 obj = unpickler.load()
527 if unpickler.compat_mode:
528 warnings.warn("The file '%s' has been generated with a "

/usr/lib/python3.6/pickle.py in load(self)
1048 raise EOFError
1049 assert isinstance(key, bytes_types)
-> 1050 dispatchkey[0]
1051 except _Stop as stopinst:
1052 return stopinst.value