| p_libraries |
List of Library objects used in the optimization process. |
| p_library_sets |
List of LibrarySet objects to be used in producing the combinatorial product. It must contain only Library objects also found in p_libraries parameter. |
| p_goodness_rule |
Object containing the minimum and maximum value threshold for each property to be analyzed. |
| p_fraction_good_hit_threshold |
Identifies the goodness that is sufficient to stop the optimization. |
| p_step_number_limit |
Maximum number of iteration to be performed. The optimization process stops after that number of iterations. |
| p_do_scale_with_size |
If set to 'true' apply the scaled pruning technique. |
| p_scale_with_size_param |
When doing scaled pruning, this is the exponent used that defined the steepness of the sigmoid function. |
| p_cut_zero_occurence |
If set to 'true' only the Fragment with a zero occurence count are eliminated after the first pass. This is usually inefficient. |
| p_enumeration_strategy |
If set to 'part' partitioning scheme is expected to be used. |
| p_first_fraction_to_keep |
Is the initial fraction of best Fragment to keep after the first iteration. 1-p_first_fraction_to_keep Fragment will be rejected. This corresponds to K0. A negative value automatically sets for the best optimal value as determined with a published linear equation. |
| p_minimum_partition_size |
Is the smallest number of Fragment contained in a subdivided (partitioned) Library. Relevant only if partitioning scheme is used. |
