Alternative names (1)
hasHyperparameterRandom triples
| Subject | Object |
|---|---|
| gptkb:Elastic_Net | l1_ratio |
| gptkb:Boosted_Trees | Tree Depth |
| gptkb:nu-SVR | nu |
| gptkb:Support_Vector_Regression | C |
| gptkb:nu-SVR | gptkb:operating_system |
| gptkb:Lasso_Regression | Regularization strength (lambda) |
| gptkb:StochasticWeightAveraging | AveragingStartEpoch |
| gptkb:Soft_Actor-Critic_(SAC) | learning rate |
| gptkb:StochasticWeightAveraging | AveragingFrequency |
| gptkb:RMSprop | learning rate |
| gptkb:LDA | beta |
| gptkb:Random_Forests | minimum samples per leaf |
| gptkb:lasso_regression | lambda (regularization parameter) |
| gptkb:Random_Forest | number of trees |
| gptkb:Gradient_Boosted_Trees | Tree Depth |
| gptkb:t-SNE | learning rate |
| gptkb:RMSprop | epsilon |
| gptkb:Random_Forest | max features |
| gptkb:LASSO | regularization parameter (lambda) |
| gptkb:Gradient_Boosted_Trees | Learning Rate |