Randomized Parameter Search¶
-
class
node_paramsearch.
ParameterSearch_Randomized
[source]¶ 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