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: |
|
---|---|
Inputs: |
|
Outputs: |
|
Ports:
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
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