CADETProcess.optimization.OptimizationProblem.create_initial_values#
- OptimizationProblem.create_initial_values(n_samples=1, seed=None, burn_in=100000, include_dependent_variables=True)[source]#
Create initial value within parameter space.
Uses hopsy (Highly Optimized toolbox for Polytope Sampling) to retrieve uniformly distributed samples from the parameter space.
- Parameters:
- n_samplesint
Number of initial values to be drawn
- seedint, optional
Seed to initialize random numbers. Only used if method == ‘random’
- burn_inint, optional
Number of samples that are created to ensure uniform sampling. The actual initial values are then drawn from this set. The default is 100000.
- include_dependent_variablesbool, optional
If True, include dependent variables in population. The default is True.
- Returns:
- valueslist
Initial values for starting the optimization.
- Raises:
- CADETProcessError
If method is not known.