Alternative names (1)
hasHyperparameterRandom triples
| Subject | Object |
|---|---|
| gptkb:Random_Forests | number of trees |
| gptkb:t-SNE | number of iterations |
| gptkb:Elastic_Net | alpha |
| gptkb:Support_Vector_Regression | C |
| gptkb:Gradient_Boosted_Trees | Tree Depth |
| gptkb:Random_Forest_Ensemble | number of features per split |
| gptkb:RMSprop | learning rate |
| gptkb:StochasticWeightAveraging | AveragingStartEpoch |
| gptkb:Boosted_Trees | Minimum Child Weight |
| gptkb:nu-SVR | gptkb:operating_system |
| gptkb:k-NN | k (number of neighbors) |
| gptkb:Support_Vector_Regression | epsilon |
| gptkb:Boosted_Trees | Tree Depth |
| gptkb:Boosted_Trees | Number of Trees |
| gptkb:LDA | number of topics |
| gptkb:Soft_Actor-Critic_(SAC) | temperature parameter (alpha) |
| gptkb:Elastic_Net_Regression | l1_ratio |
| gptkb:t-SNE | perplexity |
| gptkb:Random_Forest | max features |
| gptkb:Random_Forest_Ensemble | number of trees |