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
[source]