Created
April 14, 2020 21:03
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def create_timestamps_ds(series, | |
timestep_size=window_size): | |
time_stamps = [] | |
labels = [] | |
aux_deque = deque(maxlen=timestep_size) | |
#starting the timestep deque | |
for i in range(timestep_size): | |
aux_deque.append(0) | |
#feed the timestamps list | |
for i in range(len(series)-1): | |
aux_deque.append(series[i]) | |
time_stamps.append(list(aux_deque)) | |
#feed the labels lsit | |
for i in range(len(series)-1): | |
labels.append(series[i + 1]) | |
assert len(time_stamps) == len(labels), "Something went wrong" | |
#torch-tensoring it | |
features = torch.tensor(time_stamps[timestep_size:]).float() | |
labels = torch.tensor(labels[timestep_size:]).float() | |
return features, labels |
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