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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 |