Dataset - TypeError: only integer scalar arrays can be converted to a scalar index about cardio HOT 2 CLOSED

I simply didn't specify the correct path with the data files. Once I downloaded the QT database and specified the correct path, it worked.
But I have another problem now. After I built the model and saved it as a .dll file, I used it to predict, but it showed another error (the same error as before).

Code:

from cardio import EcgDataset
from cardio.pipelines import hmm_predict_pipeline
import warnings
warnings.filterwarnings('ignore')

eds = EcgDataset(path="C:\PhysioNetQT_DataB\cardio\cardio\tests\data\A*.hea", no_ext=True, sort=True)
batch = (eds >> hmm_predict_pipeline("C:\PhysioNetQT_DataB\model_dump.dll", annot="hmm_annotation")).next_batch()

batch.show_ecg("A00001", start=10, end=15, annot="hmm_annotation")

print("Heart rate: {0} bpm".format(int(.5 + batch["A00001"].meta["hr"])))

Error:
batch = (eds >> hmm_predict_pipeline("C:\PhysioNetQT_DataB\model_dump.dll", annot="hmm_annotation")).next_batch()

Traceback (most recent call last):

File "", line 1, in
batch = (eds >> hmm_predict_pipeline("C:\PhysioNetQT_DataB\model_dump.dll", annot="hmm_annotation")).next_batch()

File "C:\Anaconda3\lib\site-packages\cardio\dataset\dataset\pipeline.py", line 1057, in next_batch
batch_res = self.next_batch(*self._lazy_run[0], **self._lazy_run[1])

File "C:\Anaconda3\lib\site-packages\cardio\dataset\dataset\pipeline.py", line 1062, in next_batch
batch_res = next(self._batch_generator)

File "C:\Anaconda3\lib\site-packages\cardio\dataset\dataset\pipeline.py", line 1033, in gen_batch
for batch in batch_generator:

File "C:\Anaconda3\lib\site-packages\cardio\dataset\dataset\base.py", line 162, in gen_batch
for ix_batch in self.index.gen_batch(batch_size, shuffle, n_epochs, drop_last):

File "C:\Anaconda3\lib\site-packages\cardio\dataset\dataset\dsindex.py", line 276, in gen_batch
batch = self.next_batch(batch_size, shuffle, n_epochs, drop_last, iter_params)

File "C:\Anaconda3\lib\site-packages\cardio\dataset\dataset\dsindex.py", line 250, in next_batch
return self.create_batch(rest_items, pos=True)

File "C:\Anaconda3\lib\site-packages\cardio\dataset\dataset\dsindex.py", line 292, in create_batch
batch = self.subset_by_pos(_batch_indices)

File "C:\Anaconda3\lib\site-packages\cardio\dataset\dataset\dsindex.py", line 80, in subset_by_pos
return self.index[pos]

TypeError: only integer scalar arrays can be converted to a scalar index

This is the same error I got when there was no file to load. I checked the directory and it's correct and files are all there. Any advice would be much appreciated.

from cardio.

I think it was file name/path issue as well. It's been fixed.

from cardio.