Alternative names (1)
hasHyperparameterRandom triples
| Subject | Object |
|---|---|
| gptkb:GradientBoostingRegressor | subsample |
| gptkb:StochasticWeightAveraging | AveragingFrequency |
| gptkb:Multinomial_Naive_Bayes | alpha |
| gptkb:Soft_Actor-Critic_(SAC) | target smoothing coefficient (tau) |
| gptkb:Gradient_Boosted_Trees | Number of Trees |
| gptkb:RMSprop | epsilon |
| gptkb:Elastic_Net | l1_ratio |
| gptkb:t-SNE | perplexity |
| gptkb:RMSprop | decay rate |
| gptkb:LDA | beta |
| gptkb:LASSO | regularization parameter (lambda) |
| gptkb:Random_Forests | number of features per split |
| gptkb:Stochastic_gradient_descent | learning rate |
| gptkb:LASSO_regression | lambda |
| gptkb:GradientBoostingRegressor | min_samples_leaf |
| gptkb:Skip-gram_model | learning rate |
| gptkb:Random_Forest_Ensemble | maximum tree depth |
| gptkb:lasso_regression | lambda (regularization parameter) |
| gptkb:LDA | number of topics |
| gptkb:Soft_Actor-Critic_(SAC) | discount factor (gamma) |