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algorithms.json
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81 lines (81 loc) · 2.01 KB
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{
"algorithms": [
"Super_IVIM_DC",
"IVIM_NEToptim",
"TCML_TechnionIIT_lsqlm",
"TCML_TechnionIIT_lsqtrf",
"TCML_TechnionIIT_lsqBOBYQA",
"TCML_TechnionIIT_lsq_sls_lm",
"TCML_TechnionIIT_lsq_sls_trf",
"TCML_TechnionIIT_lsq_sls_BOBYQA",
"TCML_TechnionIIT_SLS",
"ASD_MemorialSloanKettering_QAMPER_IVIM",
"ETP_SRI_LinearFitting",
"IAR_LU_biexp",
"IAR_LU_modified_mix",
"IAR_LU_modified_topopro",
"IAR_LU_segmented_2step",
"IAR_LU_segmented_3step",
"IAR_LU_subtracted",
"OGC_AmsterdamUMC_Bayesian_biexp",
"OGC_AmsterdamUMC_biexp_segmented",
"OGC_AmsterdamUMC_biexp",
"PV_MUMC_biexp",
"PvH_KB_NKI_IVIMfit",
"OJ_GU_seg",
"OJ_GU_segMATLAB",
"OJ_GU_bayesMATLAB",
"TF_reference_IVIMfit"
],
"IVIM_NEToptim": {
"deep_learning": true,
"n":3000000
},
"Super_IVIM_DC": {
"deep_learning": true
},
"ASD_MemorialSloanKettering_QAMPER_IVIM": {
"requires_matlab": true
},
"OJ_GU_segMATLAB": {
"requires_matlab": true
},
"OJ_GU_bayesMATLAB": {
"requires_matlab": true
},
"IAR_LU_biexp": {
"fail_first_time": true
},
"ETP_SRI_LinearFitting": {
"options": {
"thresholds": [500]
},
"tolerances": {
"rtol": {
"f": 5,
"D": 5,
"Dp": 25
},
"atol": {
"f": 0,
"D": 0,
"Dp": 0
},
"dynamic_rtol": {
"offset": 0.001,
"noise": 200,
"f": 2,
"D": 1,
"Dp": 3
},
"dynamic_atol": {
"offset": 5e-2,
"noise": 10,
"f": 1,
"D": 0.001,
"Dp": 2
}
},
"test_bounds": false
}
}