Randomized Parameter Search

Performs a randomized parameter search returning scores and best model found. Uses table as a “hypercube” of parameters to sample from. Ie. all combinations of parameters from all columns have equal chance of beeing sampled. Use masked values for parameter/columns with different lengths.

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

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

Input ports:

in-model:

model

in-model

parameter space:  

table

param-space

X:

table

X

Y:

table

Y

cross-validation:  

[(table,table)]

cross-validation

Output ports:

results:

table

results

parameters:

table

parameters

out-model:

model

out-model

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

class node_paramsearch.ParameterSearch_Randomized