ynuozhang
Upload ScooBDoob code without binary caches
31d1d63
Raw History Blame Contribute Delete
6.99 kB
{
"seed": 19,
"settings": {
"cluster_seeds": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19
],
"k": 100,
"tica_lag": 20,
"msm_lag": 5,
"horizon": 16,
"alpha_per_transition": 7.5,
"floor_percentiles": [
10,
25,
50,
75
],
"no_floor_control": true,
"start_law": "uniform on the original source set; fixed-start mixture",
"s1_radius": 0.25
},
"records": [
{
"s1_probability": 0.5911223376745427,
"expected_distinct_states": 15.037682806054997,
"expected_self_transitions": 0.6173704673959552,
"self_transition_fraction": 0.0385856542122472,
"expected_s1_state_observations": 0.7563655871719949,
"terminal_probability": 1.0,
"max_outside_corridor_probability": 0.0,
"max_outside_arrival_mask_probability": 0.0,
"condition": "doob",
"floor_percentile": null,
"density_floor": null,
"fraction_corridor_states_below_floor": null,
"independent_recursion_error": 0.0
},
{
"s1_probability": 0.9940628269348554,
"expected_distinct_states": 11.92295814454286,
"expected_self_transitions": 1.2530964816499932,
"self_transition_fraction": 0.07831853010312458,
"expected_s1_state_observations": 4.4945914608736635,
"terminal_probability": 0.9999999999999997,
"max_outside_corridor_probability": 0.0,
"max_outside_arrival_mask_probability": 0.0,
"condition": "none",
"floor_percentile": 0,
"density_floor": 0.0,
"fraction_corridor_states_below_floor": 0.0,
"independent_recursion_error": 0.0
},
{
"s1_probability": 0.9851874451785548,
"expected_distinct_states": 12.117485369184298,
"expected_self_transitions": 1.1871902273862402,
"self_transition_fraction": 0.07419938921164002,
"expected_s1_state_observations": 3.7013947994795875,
"terminal_probability": 0.9999999999999999,
"max_outside_corridor_probability": 0.0,
"max_outside_arrival_mask_probability": 0.0,
"condition": "p10",
"floor_percentile": 10,
"density_floor": 0.16283333333333333,
"fraction_corridor_states_below_floor": 0.056179775280898875,
"independent_recursion_error": 0.0
},
{
"s1_probability": 0.924501258010828,
"expected_distinct_states": 12.43542465705962,
"expected_self_transitions": 1.052367675030286,
"self_transition_fraction": 0.06577297968939287,
"expected_s1_state_observations": 2.1850920352979477,
"terminal_probability": 0.9999999999999998,
"max_outside_corridor_probability": 0.0,
"max_outside_arrival_mask_probability": 0.0,
"condition": "p25",
"floor_percentile": 25,
"density_floor": 0.25966666666666666,
"fraction_corridor_states_below_floor": 0.10112359550561797,
"independent_recursion_error": 1.1102230246251565e-16
},
{
"s1_probability": 0.8591177847987432,
"expected_distinct_states": 12.744674789431965,
"expected_self_transitions": 0.955353538458335,
"self_transition_fraction": 0.05970959615364594,
"expected_s1_state_observations": 1.6170819071311933,
"terminal_probability": 0.9999999999999999,
"max_outside_corridor_probability": 0.0,
"max_outside_arrival_mask_probability": 0.0,
"condition": "p50",
"floor_percentile": 50,
"density_floor": 0.33216666666666667,
"fraction_corridor_states_below_floor": 0.19101123595505617,
"independent_recursion_error": 1.1102230246251565e-16
},
{
"s1_probability": 0.8012584473980241,
"expected_distinct_states": 13.374537050824975,
"expected_self_transitions": 0.8727450747307617,
"self_transition_fraction": 0.054546567170672605,
"expected_s1_state_observations": 1.3430220419973777,
"terminal_probability": 1.0,
"max_outside_corridor_probability": 0.0,
"max_outside_arrival_mask_probability": 0.0,
"condition": "p75",
"floor_percentile": 75,
"density_floor": 0.46108333333333335,
"fraction_corridor_states_below_floor": 0.29213483146067415,
"independent_recursion_error": 1.1102230246251565e-16
}
],
"n_frames": 600000,
"n_active": 100,
"corridor_states": 89,
"s1_states": 5,
"source_states_outside_arrival_mask": [],
"target_states_outside_arrival_mask": [],
"reference_committor_agreement": 4.440892098500626e-16,
"seed0_saved_figure_check": null,
"validation": {
"exhaustive_reference_check": true,
"outside_mask_start_check": true,
"max_absolute_error": 4.440892098500626e-16
},
"source_sha256": {
"scoobdoob/data/mb_reactive/traj_0000.npy": "ee49c4657f8376a0f9e698ccc96b927b9064673b78b0dc5c19da3bda076352ef",
"scoobdoob/data/mb_reactive/traj_0001.npy": "8b6a8c0dc7fde5112bac0a1a0c434f5f9a4f76a8c8720479ea7be7ccc32bfa96",
"scoobdoob/data/mb_reactive/traj_0002.npy": "d9f3910f90c26aa2f6d270c380fdcc283d40158dc8404790331fe44d4f2c1ecd",
"scoobdoob/data/mb_reactive/traj_0003.npy": "cedc2002714c3c1ddf065bf0ffe4656a1c050a782bc15ba947e4f6a26f56db75",
"scoobdoob/data/mb_reactive/traj_0004.npy": "65ba296704f373945bc419c2d3ce95301ab80f8ce10557091002d08498427db0",
"scoobdoob/data/mb_reactive/traj_0005.npy": "8cc509bf5cc7adc6939944746d348fae33f7e0e9d1b1262ebdfcc9843617dae0",
"scoobdoob/data/mb_reactive/traj_0006.npy": "a29b36328cea4d000de430c8850508a39d1173803d6b8675f891a8b836b75f26",
"scoobdoob/data/mb_reactive/traj_0007.npy": "e9c622ab1d3a063427b61de9fe1f2fa357b7cd8385c7f5f86a8ba05b0da558e0",
"scoobdoob/data/mb_reactive/traj_0008.npy": "b99413fe7e82bd8669157f481581e252e00cf153e413c9b57f01f29407c36f00",
"scoobdoob/data/mb_reactive/traj_0009.npy": "16cef629e75952c3373ab36f373b9fb2ca4ea8a4b2f6a9be8ef247fdd5d38ab6",
"scoobdoob/data/mb_reactive/traj_0010.npy": "fed8575c02336dd57329c03d4cb0468f0093264bacd02fb0f5d17f469571379e",
"scoobdoob/data/mb_reactive/traj_0011.npy": "14f715121e55f495f37737d9ed9fbe5cf50a392d74638fd427620f181eb758aa",
"make_mb_panels.py": "0b8783b39d8272e6f119efb6c52efc212c936243bd3289ada6f08038832ed5c5",
"mb_stats.py": "80bdb3ce8b9a197c6a7fa1e1339e934fd7e4e98163cf91e5a519099a7ae624cb",
"scoobdoob/validation/msm_build.py": "0e1c90780e3e75eabf31b055e3c028e207d71573be9db1bc8f0c6a7f26086a9a",
"scoobdoob/_conditioning.py": "e37a49f9c22c83a3addf90bdfd0d21a4c22336fad43abbf33d18e9f5a87c7447",
"validate_mb.py": "4d12ae76a860d84ed4897f1fd25441226062deea1756be48065ecfc827735b5d",
"analysis/mb_floor_sensitivity_20261012/analyze.py": "85187c709e5d07f0ca3f18c58eac18987b1e3e13955f33e71740427a3ce6757b"
},
"versions": {
"numpy": "2.2.6",
"scipy": "1.14.1",
"scikit-learn": "1.7.1",
"deeptime": "0.4.5"
},
"python": "3.10.13",
"elapsed_seconds": 27.396819591522217
}