DRF === Supported HTTP methods and descriptions --------------------------------------- URL --- http://:/DRF.json Input parameters ---------------- * **classification**, a boolean, expert Do classification or regression. Since version 1 * **validation**, a Frame, expert Validation frame. Since version 1 * **n_folds**, a int, expert Number of folds for cross-validation (if no validation data is specified). Since version 1 * **holdout_fraction**, a float, expert Fraction of training data (from end) to hold out for validation (if no validation data is specified). Since version 1 * **keep_cross_validation_splits**, a boolean, expert Keep cross-validation dataset splits. Since version 1 * **ntrees**, a int, critical Number of trees. Grid Search, comma sep values:50,100,150,200. Since version 1 * **max_depth**, a int, critical Maximum tree depth. Grid Search, comma sep values:5,7. Since version 1 * **min_rows**, a int, secondary Fewest allowed observations in a leaf (in R called 'nodesize'). Grid Search, comma sep values. Since version 1 * **nbins**, a int, secondary Build a histogram of this many bins, then split at the best point. Since version 1 * **score_each_iteration**, a boolean, expert Perform scoring after each iteration (can be slow). Since version 1 * **importance**, a boolean, expert Compute variable importance (true/false).. Since version 1 * **balance_classes**, a boolean, expert Balance training data class counts via over/under-sampling (for imbalanced data). Since version 1 * **class_sampling_factors**, a float[], secondary Desired over/under-sampling ratios per class (lexicographic order).. Since version 1 * **max_after_balance_size**, a float, expert Maximum relative size of the training data after balancing class counts (can be less than 1.0). Since version 1 * **checkpoint**, a Key, expert Model checkpoint to start building a new model from. Since version 1 * **overwrite_checkpoint**, a boolean, expert Overwrite checkpoint. Since version 1 * **mtries**, a int, expert Columns to randomly select at each level, or -1 for sqrt(#cols). Since version 1 * **sample_rate**, a float, secondary Sample rate, from 0. to 1.0. Since version 1 * **seed**, a long, expert Seed for the random number generator (autogenerated). Since version 1 * **do_grpsplit**, a boolean, expert Check non-contiguous group splits for categorical predictors. Since version 1 * **build_tree_one_node**, a boolean, secondary Run on one node only; no network overhead but fewer cpus used. Suitable for small datasets.. Since version 1 Output JSON elements -------------------- * **xval_models**, a Key[] Cross-validation models. Since version 1, expert * **_distribution**, a long[] Class distribution. Since version 1, expert * **_mtry**, a int Computed number of split features. Since version 1, expert * **_seed**, a long Autogenerated seed. Since version 1, expert HTTP response codes ------------------- 200 OK Success and error responses are identical.