Download analysis/mb_floor_sensitivity/result_13.json from ChatterjeeLab/ScooBDoob: direct link, hf CLI and curl.
- Browser
- Download file 6.98 kB
-
https://huggingface.co/ChatterjeeLab/ScooBDoob/resolve/main/analysis/mb_floor_sensitivity/result_13.json
- Command line
-
hf download hf://ChatterjeeLab/ScooBDoob/analysis/mb_floor_sensitivity/result_13.json
-
curl -L -o result_13.json https://huggingface.co/ChatterjeeLab/ScooBDoob/resolve/main/analysis/mb_floor_sensitivity/result_13.json
6.98 kB
| { | |
| "seed": 13, | |
| "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": 0.5644169520367373, | |
| "expected_distinct_states": 14.907966245921752, | |
| "expected_self_transitions": 0.6821570141263407, | |
| "self_transition_fraction": 0.04263481338289629, | |
| "expected_s1_state_observations": 0.7030244957756517, | |
| "terminal_probability": 0.9999999999999999, | |
| "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": 1.1102230246251565e-16 | |
| }, | |
| { | |
| "s1_probability": 0.9995822259964128, | |
| "expected_distinct_states": 11.028821590700947, | |
| "expected_self_transitions": 1.620670447864448, | |
| "self_transition_fraction": 0.101291902991528, | |
| "expected_s1_state_observations": 6.3844195580942165, | |
| "terminal_probability": 1.0000000000000004, | |
| "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": 0.9982600785956507, | |
| "expected_distinct_states": 11.266864578810566, | |
| "expected_self_transitions": 1.5829988979751701, | |
| "self_transition_fraction": 0.09893743112344813, | |
| "expected_s1_state_observations": 5.277765857814593, | |
| "terminal_probability": 0.9999999999999999, | |
| "max_outside_corridor_probability": 0.0, | |
| "max_outside_arrival_mask_probability": 0.0, | |
| "condition": "p10", | |
| "floor_percentile": 10, | |
| "density_floor": 0.1595666666666667, | |
| "fraction_corridor_states_below_floor": 0.05813953488372093, | |
| "independent_recursion_error": 0.0 | |
| }, | |
| { | |
| "s1_probability": 0.9759464362308001, | |
| "expected_distinct_states": 11.872651211875759, | |
| "expected_self_transitions": 1.4015521068986858, | |
| "self_transition_fraction": 0.08759700668116786, | |
| "expected_s1_state_observations": 3.089001381621692, | |
| "terminal_probability": 1.0, | |
| "max_outside_corridor_probability": 0.0, | |
| "max_outside_arrival_mask_probability": 0.0, | |
| "condition": "p25", | |
| "floor_percentile": 25, | |
| "density_floor": 0.26416666666666666, | |
| "fraction_corridor_states_below_floor": 0.10465116279069768, | |
| "independent_recursion_error": 0.0 | |
| }, | |
| { | |
| "s1_probability": 0.8314949774975573, | |
| "expected_distinct_states": 12.749958528241645, | |
| "expected_self_transitions": 1.0784138744273526, | |
| "self_transition_fraction": 0.06740086715170954, | |
| "expected_s1_state_observations": 1.4307226559464783, | |
| "terminal_probability": 1.0, | |
| "max_outside_corridor_probability": 0.0, | |
| "max_outside_arrival_mask_probability": 0.0, | |
| "condition": "p50", | |
| "floor_percentile": 50, | |
| "density_floor": 0.41883333333333334, | |
| "fraction_corridor_states_below_floor": 0.19767441860465115, | |
| "independent_recursion_error": 2.220446049250313e-16 | |
| }, | |
| { | |
| "s1_probability": 0.7880574122487745, | |
| "expected_distinct_states": 13.095931046640345, | |
| "expected_self_transitions": 1.0176976594917684, | |
| "self_transition_fraction": 0.06360610371823552, | |
| "expected_s1_state_observations": 1.2267282859841262, | |
| "terminal_probability": 0.9999999999999997, | |
| "max_outside_corridor_probability": 0.0, | |
| "max_outside_arrival_mask_probability": 0.0, | |
| "condition": "p75", | |
| "floor_percentile": 75, | |
| "density_floor": 0.49483333333333335, | |
| "fraction_corridor_states_below_floor": 0.313953488372093, | |
| "independent_recursion_error": 2.220446049250313e-16 | |
| } | |
| ], | |
| "n_frames": 600000, | |
| "n_active": 100, | |
| "corridor_states": 86, | |
| "s1_states": 6, | |
| "source_states_outside_arrival_mask": [], | |
| "target_states_outside_arrival_mask": [], | |
| "reference_committor_agreement": 7.771561172376096e-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": 10.978748798370361 | |
| } | |