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| author | YurenHao0426 <blackhao0426@gmail.com> | 2026-01-13 23:50:59 -0600 |
|---|---|---|
| committer | YurenHao0426 <blackhao0426@gmail.com> | 2026-01-13 23:50:59 -0600 |
| commit | 00cf667cee7ffacb144d5805fc7e0ef443f3583a (patch) | |
| tree | 77d20a3adaecf96bf3aff0612bdd3b5fa1a7dc7e /files/data_io/encoders/rank_order_encoder.py | |
| parent | c53c04aa1d6ff75cb478a9498c370baa929c74b6 (diff) | |
| parent | cd99d6b874d9d09b3bb87b8485cc787885af71f1 (diff) | |
Merge master into main
Diffstat (limited to 'files/data_io/encoders/rank_order_encoder.py')
| -rw-r--r-- | files/data_io/encoders/rank_order_encoder.py | 10 |
1 files changed, 10 insertions, 0 deletions
diff --git a/files/data_io/encoders/rank_order_encoder.py b/files/data_io/encoders/rank_order_encoder.py new file mode 100644 index 0000000..9102e90 --- /dev/null +++ b/files/data_io/encoders/rank_order_encoder.py @@ -0,0 +1,10 @@ +import numpy as np +import torch +from .base_encoder import BaseEncoder + +class RankOrderEncoder(BaseEncoder): + """Encode by rank order of input features.""" + def encode(self, data: np.ndarray) -> torch.Tensor: + # TODO: implement rank order conversion + spikes = torch.zeros(10, data.size) # placeholder + return spikes |
