Add comparisons with non-ML algorithms #7
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Reconfigure quantize bits and fix training
…ts after saved to stop matplotlib from complaining there are to many plots open (and other wonkyness), added code to scan precision of other values
� Conflicts: � scan_precision.py � train.py
…inks dataset and drops rows that have an occupancy of 0 before training, along with updating model definitions
Fixes data loading for nELinks datasets
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Idea is to enhance AE benchmarking by adding some comparisons with more traditional algs. So far I've implemented "simple thresholding" and "super trigger cells (STC)". There are two threshold variants:
lois 1.35 transverse MIPs whilehiis 2.STC1is the 'idealized' version of STC where the energy is treated as originating from the 'sub-cell' that contributes the maximum to the trigger cell. InSTC2, no position information is retained -- the energy is shared equally among all four of the constituent cells.The most relevant comparison is
STC2versus the autoencoder.I'm still discussing a few aspects of this w/ Jim, so let's wait to merge until things are further along and discuss here in the mean time.