katrain-qt/config.json

{
    "engine": {
        "katago": "KataGo/katago-bs",
        "model": " models/b15-1.3.2.txt.gz",
        "config": "KataGo/analysis_config.cfg",
        "threads": 8,
        "max_visits": 500,
        "max_time": 3.0,
        "enable_ownership": true
    },
    "files": {
        "sgf_load": "~/Downloads",
        "sgf_save": "./sgfout"
    },
    "game": {
        "init_size": 19,
        "init_komi": {
            "19": 6.5
        },
        "sweep_visits_frac": 0.05
    },
    "trainer": {
        "num_undo_prompts": [
            1,
            1,
            1,
            0.5,
            0
        ],
        "eval_thresholds": [
            12,
            6,
            3,
            1.5,
            0.5
        ],
        "eval_off_show_last": 3,
        "eval_show_ai": false
    },
    "ai": {
        "Default": {"_help_right": "No settings available here, strength is mainly affected by `max_visits` and `model` in the main settings `engine` section.","_help_left": ""},
        "Balance": {"target_score":2, "random_loss": 1, "max_loss": 5, "min_visits": 20,
        "_help_right": "Will try to win by `target_score`, lose at most `random_loss` when behind and `max_loss` when ahead.",
        "_help_left": "Never plays moves with less than `min_visits` visits, so also check engine settings."
        },
        "Jigo": {"target_score": 0.5,
        "_help_right": "Will try to win by `target_score`, without further restrictions.",
        "_help_left": "Also affected by engine settings such as `max_visits`."
        },
        "Policy": {"_help_right":"No settings available for this mode, strength is mainly affected by `model` in engine settings, but should be high dan regardless.","_help_left": ""   },
        "P+Weighted": {"_help_right":"Strength is mainly affected by `model` in engine settings.","_help_left": "`pick_override` determines when top move is chosen without randomness, and is effectively disabled by default (1.0).",
             "pick_override":  1.0},
        "P+Noise" : {"pick_override": 0.95,"noise_strength": 0.8,
                "_help_right": "Adds `noise_strength` noise to the policy and plays the top move.",
                "_help_left": "Plays top move if policy value is above `pick_override` to avoid obvious mistakes. Noise above 0.9 is near random, below 0.7 is fairly strong."
        },
        "P+Pick": {"pick_override": 0.95, "pick_n":5, "pick_frac": 0.33,
                        "_help_right": "Picks `pick_n + pick_frac * <number of legal moves>` at random and plays the best one. Change `pick_frac` to make it see more moves.",
                "_help_left": "Plays top move if policy value is above `pick_override` to avoid obvious mistakes."
        },
        "P+Local": {"pick_override": 0.95, "stddev": 1.5, "pick_n":15, "pick_frac": 0.0,
               "_help_right": "Samples `pick_n + pick_frac * <number of legal moves>` near the last move and plays the best one.",
               "_help_left": "Lower `stddev` makes it prefer closer moves."
        },
        "P+Tenuki": {"pick_override": 0.95, "stddev": 10, "pick_n":5, "pick_frac": 0.25,
                       "_help_right": "Samples `pick_n + pick_frac * <number of legal moves>` away from the last move and plays the best one.",
               "_help_left": "Increase `stddev` makes it prefer moves further away."
        },
        "P+Influence": {"pick_override": 0.95, "pick_n":5, "pick_frac": 0.4,"line_weight": 10,
                               "_help_right": "Samples `pick_n + pick_frac * <number of legal moves>` and plays the best one, biased towards the center.",
               "_help_left": "Increase `line_weight` to penalize moves near the edge more."
        },
        "P+Territory": {"pick_override": 0.95, "pick_n":5, "pick_frac": 0.4,"line_weight": 10,
                                       "_help_right": "Samples `pick_n + pick_frac * <number of legal moves>` and plays the best one, biased towards the edge.",
               "_help_left": "Increase `line_weight` to penalize moves closer to the center more."
        }
    },
    "board_ui": {
        "starpoint_size": 0.1,
        "stone_size": 0.475,
        "eval_dot_max_size": 0.5,
        "stones": {
            "B": [
                0.05,
                0.05,
                0.05
            ],
            "W": [
                0.95,
                0.95,
                0.95
            ]
        },
        "outline": {
            "B": [
                0.3,
                0.3,
                0.3,
                0.5
            ],
            "W": [
                0.7,
                0.7,
                0.7,
                0.5
            ]
        },
        "ghost_alpha": 0.5,
        "top_move_x_alpha": 0.3,
        "_child_scale": 0.95,
        "eval_colors": [
            [
                0.447,
                0.129,
                0.42
            ],
            [
                0.8,
                0,
                0
            ],
            [
                0.9,
                0.4,
                0.1
            ],
            [
                0.85,
                0.89,
                0.3
            ],
            [
                0.67,
                0.9,
                0.18
            ],
            [
                0.117,
                0.588,
                0
            ]
        ],
        "line_color": [
            0,
            0,
            0
        ],
        "policy_color": [
            0.9,
            0.2,
            0.8
        ]
    },
    "debug": {
        "level": 2
    }
}