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modified: checkpoints/forward/best_tcn_model.pt modified: checkpoints/forward/training_history.csv new file: checkpoints_mlp/task1_feature_mlp/best_feature_mlp.pt new file: checkpoints_mlp/task1_feature_mlp/training_history.csv new file: checkpoints_rms/forward_rms/best_rms_model.pt new file: checkpoints_rms/forward_rms/training_history.csv modified: evaluation_outputs/forward/evaluation_forward_test_b0_s0.png new file: evaluation_outputs/forward/evaluation_forward_val_b0_s0.png new file: evaluation_outputs/forward/evaluation_forward_val_b3_s0.png new file: evaluation_outputs/forward_rms/evaluation_test_all_samples.csv new file: evaluation_outputs/forward_rms/evaluation_test_s0.png new file: evaluation_outputs/forward_rms/evaluation_train_all_samples.csv new file: evaluation_outputs/forward_rms/evaluation_val_all_samples.csv new file: evaluation_outputs/forward_rms/evaluation_val_s0.png new file: evaluation_outputs/forward_rms/evaluation_val_s0_waveform.png new file: evaluation_outputs/task1_feature_mlp/evaluation_train_all_samples.csv new file: evaluation_outputs/task1_feature_mlp/evaluation_train_curve.png new file: evaluation_outputs/task1_feature_mlp/evaluation_val_all_samples.csv new file: evaluation_outputs/task1_feature_mlp/evaluation_val_curve.png new file: evaluation_outputs/task1_feature_mlp/evaluation_val_s0.png new file: evaluation_outputs/task1_feature_mlp/harmonic_5mm_0.75Hz_prediction.png new file: evaluation_outputs/task1_feature_mlp/harmonic_5mm_1.55Hz_prediction.png new file: scripts/__pycache__/config.cpython-310.pyc new file: scripts/__pycache__/dataset.cpython-310.pyc new file: scripts/__pycache__/model.cpython-310.pyc new file: scripts/config.py new file: scripts/dataset.py new file: scripts/evaluate.py new file: scripts/model.py new file: scripts/predict_single.py new file: scripts/train.py modified: src/__pycache__/config.cpython-310.pyc modified: src/__pycache__/dataset.cpython-310.pyc modified: src/__pycache__/model.cpython-310.pyc modified: src/config.py modified: src/dataset.py modified: src/model.py new file: src_new/__pycache__/config.cpython-310.pyc new file: src_new/__pycache__/dataset.cpython-310.pyc new file: src_new/__pycache__/evaluate.cpython-310.pyc new file: src_new/__pycache__/model.cpython-310.pyc new file: src_new/__pycache__/train.cpython-310.pyc new file: src_new/config.py new file: src_new/dataset.py new file: src_new/evaluate.py new file: src_new/model.py new file: src_new/train.py
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file_name,frequency_hz,true_rms,pred_rms,relative_error_percent,dominant_frequency_hz,frequency_squared,inverse_frequency_hz,log_frequency_hz,input_rms,input_peak_abs,input_peak_to_peak,crest_factor,middle_length_ratio,dominant_amplitude,dominant_energy_ratio,harmonic_fit_amplitude,harmonic_fit_residual_ratio,spectral_peak_prominence,half_power_bandwidth_hz,spectral_centroid_hz,signal_mean,sampling_rate
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harmonic_5mm_1.85Hz.csv,1.850000023841858,1.185911774635315,1.2428719997406006,4.803074421181267,1.8481981754302979,3.4158363342285156,0.5410675406455994,0.6142112016677856,0.6145902872085571,1.3770899772644043,2.6619200706481934,2.240663528442383,0.25,0.7274389863014221,0.9514397978782654,0.789516270160675,0.42080339789390564,85.657958984375,0.09677428752183914,1.8637527227401733,-0.002481284085661173,50.000047683761295
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harmonic_5mm_1.25Hz.csv,1.25,0.3802441656589508,0.4504010081291199,18.450471777414265,1.2483434677124023,1.5583614110946655,0.8010615706443787,0.22181743383407593,0.15971125662326813,0.5707299709320068,1.0413799285888672,3.5735113620758057,0.24992592632770538,0.1439778357744217,0.8661479949951172,0.14893445372581482,0.7513272762298584,56.41539764404297,0.05927687883377075,1.4980274438858032,-0.0021986484061926603,50.000047683761295
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harmonic_5mm_0.95Hz.csv,0.949999988079071,0.5053804516792297,0.3541945815086365,29.915258824959956,0.9513587951660156,0.9050835967063904,1.0511281490325928,-0.04986399784684181,0.1381060928106308,0.5125100016593933,1.0134000778198242,3.7109878063201904,0.25,0.09424196928739548,0.7232213020324707,0.11362786591053009,0.8133426308631897,20.55999183654785,0.09677428752183914,1.3476505279541016,0.00015772903861943632,50.000047683761295
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harmonic_5mm_0.75Hz.csv,0.75,0.39182430505752563,0.2595634460449219,33.755144156559126,0.7515671849250793,0.5648532509803772,1.3305530548095703,-0.285594642162323,0.11687792837619781,0.4074699878692627,0.8070399761199951,3.4862868785858154,0.24992701411247253,0.10824807733297348,0.8746803998947144,0.11673416197299957,0.7099294662475586,36.5,0.08761690557003021,0.8937567472457886,-0.001955104758962989,50.000047683761295
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harmonic_5mm_1.55Hz.csv,1.5499999523162842,1.4177086353302002,0.9243398308753967,34.80043728025205,1.5492842197418213,2.4002816677093506,0.6454593539237976,0.4377930164337158,0.392645925283432,1.105049967765808,2.1589999198913574,2.8143677711486816,0.25,0.4746793210506439,0.9668325185775757,0.5014731884002686,0.43158969283103943,69.77510833740234,0.09836074709892273,1.584490418434143,-0.0011147483019158244,50.000047683761295
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