Subkey |
Description |
---|---|
scoring_method |
Specify the optimization metric for your hyperparameter search. |
test_size |
Size of test set in the hyperoptimization cross validation, given as a percentage of the whole dataset. |
n_splits |
Number of iterations in train-validation cross-validation used for model optimization. |
N_iterations |
Number of iterations used in the hyperparameter optimization. This corresponds to the number of samples drawn from the parameter grid. |
n_jobspercore |
Number of jobs assigned to a single core. Only used if fastr is set to true in the classfication. |
maxlen |
Number of estimators for which the fitted outcomes and parameters are saved. Increasing this number will increase the memory usage. |
ranking_score |
Score used for ranking the performance of the evaluated workflows. |
memory |
When using DRMAA plugin, e.g. on BIGR cluster, memory usage of a single optimization job. Should be a string consisting of an integer + āGā. |
refit_training_workflows |
If True, refit all workflows trained on the full training dataset automatically during training. This will save time while performing inference, but will take more time during training and make the saved model much larger. |
refit_validation_workflows |
If True, refit all workflows trained on the train-validation training dataset automatically during training. This will save time while performing validation evaluation, but will take more time during training and make the saved model much larger. |