qualia_plugin_snn.preprocessing package

Submodules

• qualia_plugin_snn.preprocessing.Split2TimeSteps module
  • Split2TimeSteps
    • Split2TimeSteps.__init__()
    • Split2TimeSteps.__call__()

Module contents

Qualia-Plugin-SNN preprocessing package contains preprocessing modules adapted for or dedicated to Spiking Neural Networks.

class qualia_plugin_snn.preprocessing.Split2TimeSteps

Bases: Preprocessing[RawDataModel, RawDataModel]

Preprocessing module to split 1D input dataset into multiple timesteps.

__init__(chunks: int) → None

Construct qualia_plugin_snn.preprocessing.Split2TimeSteps.Split2TimeSteps.

Parameters:

chunks (int) – Number of chunks to split the data into

Return type:

None

__call__(datamodel: RawDataModel) → RawDataModel

Split the given qualia_core.datamodel.RawDataModel.RawDataModel into multiple timesteps.

Input data should be 1D (+ channel) with [N, S, C] order (channels_last). Output data has [N, T, S // T, C] dimensions Extra data that do not fit in a chunk is truncated.

Parameters:

datamodel (RawDataModel) – The input dataset

Returns:

The dataset with additional timestep dimension

Return type:

RawDataModel