Simulated Annealing Parameter Search

class node_paramsearch.ParameterSearch_SimulatedAnnealing

Uses simulated annealing to find the optimal parameters by considering a hyper cube of all possible indices to the given parameter table. Each column of the parameter table corresponds to one axis of this cube with a range corresponding to the non-masked rows of the parameter table. The radius for the annealing process assumes that all axes have unit length regardless of the number of non-masked rows. This node should be considered _experimental_ and may change in the future

Configuration:

• cv

  Number of fold in the default K-Fold cross validation. Ignored when cross-validation port is given

• n_iter

  Number of randomized searches done

• cooling

  Method for lowering temperature

• cooling_arg

  Argument A to cooling method. Exponential: T=A^t Linear ignores A Logarithmic: T=A/log(1+t)

Inputs:

in-model : model

in-model

parameter space : table

param-space

X : table

X

Y : table

Y

cross-validation : [(table,table)]

cross-validation

Outputs:

results : table

results

parameters : table

parameters

out-model : model

out-model