Alternative names (1)
hasHyperparameterRandom triples
| Subject | Object |
|---|---|
| gptkb:LASSO_regression | lambda |
| gptkb:Boosted_Trees | Number of Trees |
| gptkb:Gradient_Boosted_Trees | Learning Rate |
| gptkb:Gradient_Boosted_Trees | Tree Depth |
| gptkb:Random_Forest | number of trees |
| gptkb:RMSprop | decay rate |
| gptkb:Stochastic_gradient_descent | batch size |
| gptkb:Boosted_Trees | Subsample Ratio |
| gptkb:lasso_regression | lambda (regularization parameter) |
| gptkb:Skip-gram_model | learning rate |
| gptkb:t-SNE | number of iterations |
| gptkb:Lasso_Regression | Regularization strength (lambda) |
| gptkb:Support_Vector_Regression | C |
| gptkb:Elastic_Net | alpha |
| gptkb:t-SNE | learning rate |
| gptkb:Random_Forest_Ensemble | number of trees |
| gptkb:LDA | beta |
| gptkb:GradientBoostingRegressor | learning_rate |
| gptkb:Gradient_Boosted_Trees | Subsample Ratio |
| gptkb:Elastic_Net_Regression | l1_ratio |