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.

Documentation

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

Input ports:

in-modelmodel

in-model

parameter spacetable

param-space

Xtable

X

Ytable

Y

cross-validation[(table,table)]

cross-validation

Output ports:

resultstable

results

parameterstable

parameters

out-modelmodel

out-model

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

class node_paramsearch.ParameterSearch_Randomized