public abstract static class SharedTreeModel.SharedTreeParameters extends hex.Model.Parameters implements hex.Model.GetNTrees, PlattScalingHelper.ParamsWithCalibration
| Modifier and Type | Class and Description |
|---|---|
static class |
SharedTreeModel.SharedTreeParameters.HistogramType |
| Modifier and Type | Field and Description |
|---|---|
boolean |
_build_tree_one_node |
boolean |
_calibrate_model |
water.Key<water.fvec.Frame> |
_calibration_frame |
double |
_col_sample_rate_change_per_level |
double |
_col_sample_rate_per_tree |
SharedTreeModel.SharedTreeParameters.HistogramType |
_histogram_type |
int |
_initial_score_interval |
int |
_max_depth |
double |
_min_rows |
double |
_min_split_improvement |
int |
_nbins |
int |
_nbins_cats |
int |
_nbins_top_level |
int |
_ntrees |
double |
_r2_stopping |
double |
_sample_rate |
double[] |
_sample_rate_per_class |
int |
_score_interval |
int |
_score_tree_interval |
_auto_rebalance, _balance_classes, _categorical_encoding, _check_constant_response, _checkpoint, _class_sampling_factors, _custom_distribution_func, _custom_metric_func, _distribution, _export_checkpoints_dir, _fold_assignment, _fold_column, _gainslift_bins, _huber_alpha, _ignore_const_cols, _ignored_columns, _is_cv_model, _keep_cross_validation_fold_assignment, _keep_cross_validation_models, _keep_cross_validation_predictions, _max_after_balance_size, _max_categorical_levels, _max_confusion_matrix_size, _max_runtime_secs, _nfolds, _offset_column, _parallelize_cross_validation, _pretrained_autoencoder, _quantile_alpha, _response_column, _score_each_iteration, _seed, _stopping_metric, _stopping_rounds, _stopping_tolerance, _train, _tweedie_power, _valid, _weights_column, MAX_SUPPORTED_LEVELS| Constructor and Description |
|---|
SharedTreeParameters() |
| Modifier and Type | Method and Description |
|---|---|
boolean |
calibrateModel() |
water.fvec.Frame |
getCalibrationFrame() |
int |
getNTrees() |
hex.Model.Parameters |
getParams() |
long |
progressUnits() |
algoName, checksum, checksum, defaultDropConsCols, defaultStoppingTolerance, fullName, getOrMakeRealSeed, hasCheckpoint, javaName, missingColumnsType, read_lock_frames, read_unlock_frames, setTrain, train, validpublic int _ntrees
public int _max_depth
public double _min_rows
public int _nbins
public int _nbins_cats
public double _min_split_improvement
public SharedTreeModel.SharedTreeParameters.HistogramType _histogram_type
public double _r2_stopping
public int _nbins_top_level
public boolean _build_tree_one_node
public int _score_tree_interval
public int _initial_score_interval
public int _score_interval
public double _sample_rate
public double[] _sample_rate_per_class
public boolean _calibrate_model
public water.Key<water.fvec.Frame> _calibration_frame
public double _col_sample_rate_change_per_level
public double _col_sample_rate_per_tree
public long progressUnits()
progressUnits in class hex.Model.Parameterspublic int getNTrees()
getNTrees in interface hex.Model.GetNTreespublic water.fvec.Frame getCalibrationFrame()
getCalibrationFrame in interface PlattScalingHelper.ParamsWithCalibrationpublic boolean calibrateModel()
calibrateModel in interface PlattScalingHelper.ParamsWithCalibrationpublic hex.Model.Parameters getParams()
getParams in interface PlattScalingHelper.ParamsWithCalibration