.. _`Randomized Parameter Search`: .. _`org.sysess.sympathy.machinelearning.randomized_parsearch`: Randomized Parameter Search ~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. image:: random_hyperparam.svg :width: 48 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 .. automodule:: node_paramsearch .. class:: ParameterSearch_Randomized