Simulated Annealing Parameter Search

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

Definition

Input ports

in-model model

in-model

parameter space table

param-space

X table

X

Y table

Y

cross-validation 0 - 1, [(table,table)]

cross-validation

Output ports

results table

results

parameters table

parameters

out-model model

out-model

Configuration

Cooling method (cooling)

Method for lowering temperature

Cooling argument (cooling_arg)

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

Cross validation splits (cv)

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

iterations (n_iter)

Number of randomized searches done

Implementation

class node_paramsearch.ParameterSearch_SimulatedAnnealing