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Read in binary data with C++
Read binary from python, Refactor Code
Ignore standard files, virtual environments, data, and model artifacts
Neural network
Revert "Read binary from python, Refactor Code"
Updated cpp read script to include selection of bin files with ml arg
…bage data detector
Collecting samples
refactor and GCC
Added MACOS
…version, simplified read function, leaving commented code in case of future errors
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Binary Loading Functions
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Added two runtime arguments, --feature_cols and --conf_thresh, that allow you to select certain feature columns and confidence thresholds for training the neural network.
default for feature columns is "Envelope H1,Envelope H2,Envelope H3", and you can select any columns (or number) in the format "Col X,Col Y,Col Z,…" Tested with single GCC columns, 2 GCC column, and all Envelope columns
default for confidence thresholds is "0.5,0.8" (decimal value of desired percentage). You can use any number (between 0 and 1) and any set any amount of thresholds. Tested with 2, 3 and 4 confidence thresholds