Alternative names (1)
hasHyperparameterRandom triples
| Subject | Object |
|---|---|
| gptkb:GradientBoostingRegressor | max_depth |
| gptkb:Soft_Actor-Critic_(SAC) | target smoothing coefficient (tau) |
| gptkb:nu-SVR | C |
| gptkb:Gradient_Boosted_Trees | Tree Depth |
| gptkb:GradientBoostingRegressor | min_samples_leaf |
| gptkb:Support_Vector_Regression | gamma |
| gptkb:nu-SVR | epsilon |
| gptkb:Random_Forests | number of features per split |
| gptkb:Support_Vector_Regression | epsilon |
| gptkb:Gradient_Boosted_Trees | Number of Trees |
| gptkb:Elastic_Net | alpha |
| gptkb:Skip-gram_model | learning rate |
| gptkb:Lasso_Regression | Regularization strength (lambda) |
| gptkb:Multinomial_Naive_Bayes | alpha |
| gptkb:StochasticWeightAveraging | AveragingStartEpoch |
| gptkb:Skip-gram_model | embedding dimension |
| gptkb:GradientBoostingRegressor | learning_rate |
| gptkb:LASSO | regularization parameter (lambda) |
| gptkb:GradientBoostingRegressor | min_samples_split |
| gptkb:GradientBoostingRegressor | n_estimators |