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dict
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construction
dict
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bool
1 class
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float64
227
231
{ "dimensions": 100, "components": 20, "truths": 5000, "samples": 5000, "regions": 100 }
true
{ "component_covariance": "identity", "mean_translation": "shift / sqrt(dimensions) in every coordinate", "seed": 260502014, "source_disclosure": "paper source gives dimensions/counts but no GMM construction or script" }
cuda
[ { "shift": -6, "mira": 0.6514182090759277, "mira_region_std": 0.0033494483213871717, "mean_bayes_factor": 0.027603618800640106, "log_mean_bayes_factor": -3.589808338053201 }, { "shift": -3, "mira": 0.6641052961349487, "mira_region_std": 0.003646712750196457, "mean_bayes_facto...
true
true
226.763135
{ "dimensions": 100, "components": 20, "truths": 5000, "samples": 5000, "regions": 100 }
true
{ "component_covariance": "identity", "mean_translation": "shift / sqrt(dimensions) in every coordinate", "seed": 260502015, "source_disclosure": "paper source gives dimensions/counts but no GMM construction or script" }
cuda
[ { "shift": -6, "mira": 0.6524978280067444, "mira_region_std": 0.0032587165478616953, "mean_bayes_factor": 0.011373023502528667, "log_mean_bayes_factor": -4.476510875589822 }, { "shift": -3, "mira": 0.6643844246864319, "mira_region_std": 0.0032486149575561285, "mean_bayes_fact...
true
true
230.462742
{ "dimensions": 100, "components": 20, "truths": 5000, "samples": 5000, "regions": 100 }
true
{ "component_covariance": "identity", "mean_translation": "shift / sqrt(dimensions) in every coordinate", "seed": 260502016, "source_disclosure": "paper source gives dimensions/counts but no GMM construction or script" }
cuda
[ { "shift": -6, "mira": 0.6531603336334229, "mira_region_std": 0.0032428831327706575, "mean_bayes_factor": 0.22452807426452637, "log_mean_bayes_factor": -1.4937542609047636 }, { "shift": -3, "mira": 0.6648144125938416, "mira_region_std": 0.0032883682288229465, "mean_bayes_fact...
true
true
226.93426
{ "dimensions": 100, "components": 20, "truths": 5000, "samples": 5000, "regions": 100 }
true
{ "component_covariance": "identity", "mean_translation": "shift / sqrt(dimensions) in every coordinate", "seed": 260502017, "source_disclosure": "paper source gives dimensions/counts but no GMM construction or script" }
cuda
[ { "shift": -6, "mira": 0.6503078937530518, "mira_region_std": 0.0035983631387352943, "mean_bayes_factor": 0.03856272995471954, "log_mean_bayes_factor": -3.255469196207498 }, { "shift": -3, "mira": 0.6640786528587341, "mira_region_std": 0.003236484481021762, "mean_bayes_factor...
true
true
231.109891
{ "dimensions": 100, "components": 20, "truths": 5000, "samples": 5000, "regions": 100 }
true
{ "component_covariance": "identity", "mean_translation": "shift / sqrt(dimensions) in every coordinate", "seed": 260502018, "source_disclosure": "paper source gives dimensions/counts but no GMM construction or script" }
cuda
[ { "shift": -6, "mira": 0.6519337296485901, "mira_region_std": 0.0035612136125564575, "mean_bayes_factor": 0.042078375816345215, "log_mean_bayes_factor": -3.168221347696756 }, { "shift": -3, "mira": 0.6641526818275452, "mira_region_std": 0.002980293706059456, "mean_bayes_facto...
true
true
228.236566

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