SabaPivot's picture
download
raw
1.53 kB
{
"scope": "independent NumPy implementation; not the authors' R/Rcpp hardware",
"environment": {
"python": "3.12.13",
"numpy": "1.26.4",
"machine": "x86_64",
"processor": "x86_64"
},
"claim_1_2_exactness": {
"trials": 1000,
"exact_set_matches": 1000,
"max_value_abs_error": 0.0,
"max_iterations": 4
},
"claim_4_runtime": {
"n": 1000000,
"k": 100000,
"repetitions": 30,
"median_ms": 93.54094599984819,
"p95_ms": 101.12002864625538,
"median_iterations": 5.0,
"max_iterations": 5
},
"claim_5_warm_start": {
"K": 100,
"all_objectives_match_cold": true,
"warm_total_iterations": 203,
"cold_total_iterations": 257,
"warm_median_iterations": 2.0,
"cold_median_iterations": 3.0
},
"claim_3_stability_proxy": [
{
"noise_sd": 0.5,
"median_value_error": 0.012058164077199215,
"set_recovery_rate": 0.04
},
{
"noise_sd": 0.2,
"median_value_error": 0.0033756526959572777,
"set_recovery_rate": 0.31
},
{
"noise_sd": 0.1,
"median_value_error": 0.001726058257054415,
"set_recovery_rate": 0.495
},
{
"noise_sd": 0.05,
"median_value_error": 0.0007567390082328651,
"set_recovery_rate": 0.655
},
{
"noise_sd": 0.02,
"median_value_error": 0.0003536060928315682,
"set_recovery_rate": 0.86
},
{
"noise_sd": 0.01,
"median_value_error": 0.00017854835488302634,
"set_recovery_rate": 0.99
}
]
}

Xet Storage Details

Size:
1.53 kB
·
Xet hash:
6ce65ed0347b2bc750f6e0bf6f60173c67800a5784f12f4fa7a8105610feacf2

Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.