Sampling Configuration¶
The Sampling configuration file consists of the parameters which conducting adaptive sampling/active learning from the VRM system
- param sampling_config[‘sample_dim’]
Initial set (number) of KCC values to be generated to be sent to VRM for deviation pattern simulation
- type sampling_config[‘sample_dim’]
int (required)
- param sampling_config[‘adaptive_sample_dim’]
Consecutive adaptive set (number) of KCC values to be generated to be sent to VRM for deviation pattern simulation
- type sampling_config[‘adaptive_sample_dim’]
int (required)
- param sampling_config[‘adaptive_runs’]
Number of adaptive runs to conducted used as a terminating criteria for active learning
- type sampling_config[‘adaptive_runs’]
int (required)
- param sampling_config[‘sample_type’]
Initial sampling strategy uniform or LHS (Latin Hypercube Sampling), defaults to LHS
- type sampling_config[‘sample_type’]
str (required)
- param sampling_config[‘sample_type’]
The output filename of the generated samples to be used as input for the VRM software
- type sampling_config[‘sample_type’]
str (required)
