Alternative names (1)
hasHyperparameterRandom triples
| Subject | Object |
|---|---|
| gptkb:Random_Forest | max features |
| gptkb:Random_Forest_Ensemble | number of trees |
| gptkb:GradientBoostingRegressor | max_depth |
| gptkb:Gradient_Boosted_Trees | Learning Rate |
| gptkb:Boosted_Trees | Tree Depth |
| gptkb:nu-SVR | gptkb:operating_system |
| gptkb:GradientBoostingRegressor | min_samples_leaf |
| gptkb:Gradient_Boosted_Trees | Tree Depth |
| gptkb:RMSprop | learning rate |
| gptkb:Soft_Actor-Critic_(SAC) | learning rate |
| gptkb:Boosted_Trees | Subsample Ratio |
| gptkb:Random_Forests | number of trees |
| gptkb:Random_Forests | maximum tree depth |
| gptkb:LDA | beta |
| gptkb:Random_Forest_Ensemble | maximum tree depth |
| gptkb:GradientBoostingRegressor | subsample |
| gptkb:Soft_Actor-Critic_(SAC) | discount factor (gamma) |
| gptkb:lasso_regression | lambda (regularization parameter) |
| gptkb:Boosted_Trees | Learning Rate |
| gptkb:k-NN | k (number of neighbors) |