public class DRFParametersV3 extends SharedTreeParametersV3
| Modifier and Type | Field and Description |
|---|---|
boolean |
binomial_double_trees
For binary classification: Build 2x as many trees (one per class) - can lead to higher accuracy.
|
int |
mtries
Number of variables randomly sampled as candidates at each split.
|
balance_classes, build_tree_one_node, class_sampling_factors, col_sample_rate_change_per_level, col_sample_rate_per_tree, histogram_type, max_after_balance_size, max_confusion_matrix_size, max_depth, max_hit_ratio_k, min_rows, min_split_improvement, nbins, nbins_cats, nbins_top_level, ntrees, r2_stopping, sample_rate, sample_rate_per_class, score_tree_interval, seedcheckpoint, fold_assignment, fold_column, ignore_const_cols, ignored_columns, keep_cross_validation_fold_assignment, keep_cross_validation_predictions, max_runtime_secs, model_id, nfolds, offset_column, parallelize_cross_validation, response_column, score_each_iteration, stopping_metric, stopping_rounds, stopping_tolerance, training_frame, validation_frame, weights_column| Constructor and Description |
|---|
DRFParametersV3() |
| Modifier and Type | Method and Description |
|---|---|
java.lang.String |
toString()
Return the contents of this object as a JSON String.
|
public int mtries
public boolean binomial_double_trees
public java.lang.String toString()
toString in class SharedTreeParametersV3