exp_params.json

{
    "class_colors": ["b","g", "m", "royalblue", "darkslategray", "purple"],

    "batch_size": 128,
    "test_bs": 512,
    "epochs": 51,
    "seed": 458,

    "plot_every": 5,
    "test_every": null,
    "save_every": 5,
    "print_every": 100,
    "test_freq": 1,
    "save_summary_every": 2,

    "sr": 512,
    "secs_per_file": 3600,
    "secs_per_samp": 5,
    "secs_per_row": 5,
    "num_segs": 1,
    "seq_len": null,
    "num_hours_per_class": 200,
    "if_spectrum": false,
    "fft_len": 256,
    "frame_len": 512,
    "frame_step": 32,
    "days4train": null,

    "height": null,
    "width": 1,
    "channels": 1,
    "header": null,

    "ifnorm": true,
    "if_coll_certain": false,
    "cert_theta": 0.999,
    "is_overwritten_training": false,

    "results_root": "results",
    "src_dir": "src",
    "sub_plots_dirs": ["attention_maps", "certain_uncertain", "wrong_examples"],
    "restore_from": null,
    "test_only": false,
    "model_save_dir": null,
    "class_mode": "BL+2EPG",
    "data_root":  "data",
    "data_dirs": [
          "1227",
          "1237",
          "1270",
          "1275",
          "1276",
          "32140"
    ],
    "file_pattern": "*ori.csv",
    "data_source": "test-if-gpu",
    "ctrl_pps_ratio": 3,

    "model_name": "cnn_resi_cam_ecg",
    "optimizer_name": "adam",
    "loss_type": "cross_entropy",
    "learning_rate": 0.0005,
    "patience": 2,
    "test_ratio": 0.2

}