Alternative names (1)
hasHyperparameterRandom triples
| Subject | Object |
|---|---|
| gptkb:Random_Forest_Ensemble | minimum samples per leaf |
| gptkb:Boosted_Trees | Learning Rate |
| gptkb:GradientBoostingRegressor | subsample |
| gptkb:nu-SVR | epsilon |
| gptkb:Random_Forest | max depth |
| gptkb:GradientBoostingRegressor | max_features |
| gptkb:nu-SVR | gptkb:operating_system |
| gptkb:GradientBoostingRegressor | min_samples_leaf |
| gptkb:Random_Forest | max features |
| gptkb:t-SNE | learning rate |
| gptkb:StochasticWeightAveraging | AveragingStartEpoch |
| gptkb:Support_Vector_Regression | C |
| gptkb:Elastic_Net | l1_ratio |
| gptkb:Random_Forests | number of features per split |
| gptkb:Elastic_Net_Regression | l1_ratio |
| gptkb:Boosted_Trees | Subsample Ratio |
| gptkb:LDA | beta |
| gptkb:Gradient_Boosted_Trees | Tree Depth |
| gptkb:Stochastic_gradient_descent | batch size |
| gptkb:Boosted_Trees | Tree Depth |