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
- 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
- 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