features.ModelDenoisedFeatures

features.ModelDenoisedFeatures()

Combined schema for denoised features, after the waveform-shape remap.

Identical to ModelRawFeatures apart from the spike block: after denoising, aggregation.apply_waveform_remap (called by produce_output_dataframes and feature_calculators.aggregate_snippets) applies remap_waveform_shape_features, which drops ModelSpikeFeatures’ 6 raw timing/amplitude columns in favour of ModelSpikeShapeFeatures’ 4 reparametrised ones.

Note: Denoised tables written before that remap still match ModelRawFeatures, so ephysatlas.data.read_features_from_disk chooses between the two schemas on the columns actually present rather than on which file it loaded.