time-series-prediction-subnet/vali_config.py at main · Roko-Network/time-series-prediction-subnet · GitHub

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# The MIT License (MIT)
# Copyright © 2023 Yuma Rao
# developer: Taoshi
# Copyright © 2023 Taoshi Inc

import os


class ValiConfig:
    RMSE_WEIGHT = 0.001
    SCALE_FACTOR_EXP = 0.0001
    SCALE_FACTOR = 100
    SCALE_SHIFT = (1 - 1 / SCALE_FACTOR) / 2
    HISTORICAL_DATA_LOOKBACK_DAYS_MIN = 25
    HISTORICAL_DATA_LOOKBACK_DAYS_MAX = 30
    PREDICTIONS_MIN = 100
    PREDICTIONS_MAX = 101
    DELETE_STALE_DATA = 180

    STANDARD_TF = 5

    BASE_DIR = base_directory = os.path.dirname(os.path.abspath(__file__))

    MIN_MAX_RANGES_PERCENTILED = [1.00387751, 1.0046771, 1.00538229, 1.00616374, 1.00664601, 1.0072153, 1.00770294,
                                  1.00808834, 1.00859267,
                                  1.00903976, 1.00931942, 1.0096989, 1.00997964, 1.01052436, 1.01077243, 1.01108361,
                                  1.01128386, 1.01158122,
                                  1.0120119, 1.01229222, 1.01261726, 1.01288392, 1.0132722, 1.01353335, 1.0138921,
                                  1.01413495, 1.01451136,
                                  1.01465911, 1.01491849, 1.01537435, 1.01561035, 1.01579462, 1.01618927, 1.01646992,
                                  1.01673463, 1.01701713,
                                  1.01720421, 1.01744781, 1.01767875, 1.01791642, 1.01822153, 1.01854, 1.01877669,
                                  1.01898336, 1.01922001,
                                  1.01966653, 1.0199679, 1.02027133, 1.02055236, 1.02094191, 1.02116136, 1.02137276,
                                  1.02171295, 1.02192541,
                                  1.02256128, 1.02283793, 1.02320215, 1.02358504, 1.02388836, 1.02429519, 1.02459838,
                                  1.02493807, 1.02530799,
                                  1.02574097, 1.02609725, 1.02640666, 1.02707684, 1.02741645, 1.02781218, 1.02832343,
                                  1.02898796, 1.02949237,
                                  1.02994235, 1.03030233, 1.03064786, 1.03096797, 1.03140919, 1.03188256, 1.03248486,
                                  1.03304408, 1.03347025,
                                  1.03386884, 1.0344379, 1.03490934, 1.03551905, 1.03629801, 1.03689149, 1.03754179,
                                  1.0381573, 1.03887474,
                                  1.03974902, 1.04070866, 1.04186925, 1.04281596, 1.04375247, 1.04477374, 1.04579982,
                                  1.04753622, 1.04884303,
                                  1.04995786
                                  ]

    STD_DEV_RANGES_PERCENTILED = numbers = [
        14.56495373, 17.74587314, 22.32673054, 24.93175989, 28.34223599,
        32.02346165, 36.17328143, 38.589925, 40.48770392, 44.51235005,
        47.79799745, 50.64436638, 53.37760366, 56.21421243, 58.33733575,
        60.78001532, 63.58972285, 66.71941315, 69.37111468, 72.61498983,
        75.35241329, 78.23523053, 80.92938168, 83.36298927, 87.18681649,
        90.87535626, 94.81589054, 98.32952852, 101.47150153, 104.62654578,
        106.74939579, 110.02812468, 112.95714559, 115.58940516, 118.80532864,
        122.47377089, 125.74192089, 129.8403818, 134.76746857, 137.96280529,
        141.26967728, 145.2486831, 147.73253045, 151.27890357, 154.60348086,
        158.00942214, 161.35386492, 165.06363718, 168.30287258, 170.84724112,
        173.42067266, 177.73918075, 182.55508446, 186.71742188, 191.87974583,
        196.27408603, 199.72023178, 204.45018131, 207.91268038, 212.33993502,
        217.18670983, 221.14247226, 226.62900042, 230.615892, 235.11177938,
        241.23857952, 245.96720201, 249.70278539, 255.27224532, 260.50296758,
        265.14036691, 270.46674736, 276.30627702, 282.70117857, 286.35384611,
        292.34049342, 298.67381416, 303.5673084, 313.26034096, 322.5855542,
        328.8972794, 336.79776704, 347.12536861, 356.86224137, 362.76450999,
        369.21420243, 377.84751456, 389.59694402, 399.24432066, 414.09697296,
        430.02950634, 440.63614279, 454.53297833, 472.71148317, 485.83013752,
        510.13988824, 535.74779467, 588.34578545, 649.6036526, 937.09967096
    ]