Alternative names (1)
hasHyperparameterRandom triples
| Subject | Object |
|---|---|
| gptkb:RMSprop | epsilon |
| gptkb:Gradient_Boosted_Trees | Learning Rate |
| gptkb:Elastic_Net | alpha |
| gptkb:GradientBoostingRegressor | min_samples_leaf |
| gptkb:Boosted_Trees | Tree Depth |
| gptkb:Gradient_Boosted_Trees | Number of Trees |
| gptkb:LASSO_regression | lambda |
| gptkb:nu-SVR | epsilon |
| gptkb:GradientBoostingRegressor | min_samples_split |
| gptkb:Gradient_Boosted_Trees | Subsample Ratio |
| gptkb:Random_Forests | maximum tree depth |
| gptkb:t-SNE | learning rate |
| gptkb:GradientBoostingRegressor | max_features |
| gptkb:Boosted_Trees | Number of Trees |
| gptkb:k-NN | k (number of neighbors) |
| gptkb:GradientBoostingRegressor | loss |
| gptkb:Random_Forest | min samples split |
| gptkb:Random_Forests | number of trees |
| gptkb:Gradient_Boosted_Trees | Loss Function |
| gptkb:LDA | alpha |