-
DOE files
- Input:
- TEST ID
- Num Vars
- Training type: TR / VAL
- Num of samples
- Direciton: X / Y / Z
- Output file name example
- TEST (ID) _ X _ SBAGM _ V (Num Vars) _ (Train type) _ (Num samples) _ DIR _(Direciton)
- i.e. TEST0_X_SBAGM_V5_TR_DOE_1000_DIR_Z.mat
- Input:
-
Realization
- Input:
- TEST ID
- Num Vars
- Training type: TR / VAL
- Realization type: RAND / FIX + Index
- Num of samples
- Direciton: X / Y / Z
- Output file name example
- TEST (ID) _ Y _ SBAGM _ V (Num Vars) _ (Train type) _ (Realization type) _ (Num samples) _ DIR _(Direciton)
- i.e. TEST0_Y_SBAGM_V5_TR_RAND_DOE_1000_DIR_Z.mat
- i.e. TEST0_Y_SBAGM_V5_TR_FIX200_DOE_1000_DIR_Z.mat
- Input:
-
Config file
- Input:
- TEST ID
- Num of samples
- Output file name example
- config_SDOF_ SBAGM_ (ID) _ DOE _ (Num samples) . json
- i.e. config_SDOF_SBAGM_5_DOE_1000.json
- Input: