XGBoostModel.XGBoostParameters (h2o-ext-xgboost 3.36.1 API)

java.lang.Object
- water.Iced<hex.Model.Parameters>
- - hex.Model.Parameters
  - - hex.tree.xgboost.XGBoostModel.XGBoostParameters

All Implemented Interfaces:

hex.Model.AdaptFrameParameters, hex.Model.GetNTrees, hex.tree.PlattScalingHelper.ParamsWithCalibration, java.io.Externalizable, java.io.Serializable, java.lang.Cloneable, water.Freezable<hex.Model.Parameters>

Enclosing class:

XGBoostModel
```
public static class XGBoostModel.XGBoostParameters
extends hex.Model.Parameters
implements hex.Model.GetNTrees, hex.tree.PlattScalingHelper.ParamsWithCalibration
```
See Also:

Serialized Form

Nested Class Summary

Nested Classes
Modifier and Type	Class and Description
`static class`	`XGBoostModel.XGBoostParameters.Backend`
`static class`	`XGBoostModel.XGBoostParameters.Booster`
`static class`	`XGBoostModel.XGBoostParameters.DartNormalizeType`
`static class`	`XGBoostModel.XGBoostParameters.DartSampleType`
`static class`	`XGBoostModel.XGBoostParameters.DMatrixType`
`static class`	`XGBoostModel.XGBoostParameters.GrowPolicy`
`static class`	`XGBoostModel.XGBoostParameters.TreeMethod`

Nested classes/interfaces inherited from class hex.Model.Parameters
hex.Model.Parameters.CategoricalEncodingScheme, hex.Model.Parameters.FoldAssignmentScheme

Field Summary

Fields
Modifier and Type	Field and Description
`XGBoostModel.XGBoostParameters.Backend`	`_backend`
`XGBoostModel.XGBoostParameters.Booster`	`_booster`
`boolean`	`_build_tree_one_node`
`boolean`	`_calibrate_model`
`water.Key<water.fvec.Frame>`	`_calibration_frame`
`double`	`_col_sample_rate`
`double`	`_col_sample_rate_per_tree`
`double`	`_colsample_bylevel`
`double`	`_colsample_bynode`
`double`	`_colsample_bytree`
`XGBoostModel.XGBoostParameters.DMatrixType`	`_dmatrix_type`
`double`	`_eta`
`float`	`_gamma`
`int[]`	`_gpu_id`
`XGBoostModel.XGBoostParameters.GrowPolicy`	`_grow_policy`
`int`	`_initial_score_interval`
`java.lang.String[][]`	`_interaction_constraints`
`double`	`_learn_rate`
`double`	`_learn_rate_annealing`
`float`	`_max_abs_leafnode_pred`
`int`	`_max_bins`
`float`	`_max_delta_step`
`int`	`_max_depth`
`int`	`_max_leaves`
`double`	`_min_child_weight`
`double`	`_min_rows`
`float`	`_min_split_improvement`
`hex.KeyValue[]`	`_monotone_constraints`
`int`	`_n_estimators` Deprecated. will be removed in 3.30.0.1, use _ntrees
`XGBoostModel.XGBoostParameters.DartNormalizeType`	`_normalize_type`
`int`	`_nthread`
`int`	`_ntrees`
`boolean`	`_one_drop`
`boolean`	`_quiet_mode`
`float`	`_rate_drop`
`float`	`_reg_alpha`
`float`	`_reg_lambda`
`double`	`_sample_rate`
`XGBoostModel.XGBoostParameters.DartSampleType`	`_sample_type`
`java.lang.String`	`_save_matrix_directory`
`float`	`_scale_pos_weight`
`int`	`_score_interval`
`int`	`_score_tree_interval`
`float`	`_skip_drop`
`double`	`_subsample`
`XGBoostModel.XGBoostParameters.TreeMethod`	`_tree_method`

Fields inherited from class hex.Model.Parameters
_auc_type, _auto_rebalance, _auuc_nbins, _auuc_type, _balance_classes, _categorical_encoding, _check_constant_response, _checkpoint, _class_sampling_factors, _custom_distribution_func, _custom_metric_func, _cv_fold, _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, _keep_cross_validation_predictions_precision, _main_model_time_budget_factor, _max_after_balance_size, _max_categorical_levels, _max_confusion_matrix_size, _max_runtime_secs, _nfolds, _offset_column, _parallelize_cross_validation, _preprocessors, _pretrained_autoencoder, _quantile_alpha, _response_column, _score_each_iteration, _seed, _stopping_metric, _stopping_rounds, _stopping_tolerance, _train, _treatment_column, _tweedie_power, _valid, _weights_column, MAX_SUPPORTED_LEVELS

Constructor Summary

Constructors
Constructor and Description

XGBoostParameters()

Constructors
Constructor and Description
`XGBoostParameters()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`java.lang.String`	`algoName()`
`boolean`	`calibrateModel()`
`java.lang.String`	`fullName()`
`water.fvec.Frame`	`getCalibrationFrame()`
`int`	`getNTrees()`
`hex.Model.Parameters`	`getParams()`
`java.lang.String`	`javaName()`
`long`	`progressUnits()`

Methods inherited from class hex.Model.Parameters
checksum, checksum, defaultDropConsCols, defaultStoppingTolerance, getCategoricalEncoding, getDependentKeys, getDistributionFamily, getFoldColumn, getMaxCategoricalLevels, getNonPredictors, getOffsetColumn, getOrMakeRealSeed, getResponseColumn, getTreatmentColumn, getUsedColumns, getWeightsColumn, hasCheckpoint, missingColumnsType, read_lock_frames, read_unlock_frames, setDistributionFamily, setTrain, train, valid

Methods inherited from class water.Iced
asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonString, write, writeExternal, writeJSON

Methods inherited from class java.lang.Object
equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

_quiet_mode
```
public boolean _quiet_mode
```

_ntrees
```
public int _ntrees
```

_n_estimators
```
public int _n_estimators
```
Deprecated. will be removed in 3.30.0.1, use _ntrees

_max_depth
```
public int _max_depth
```

_min_rows
```
public double _min_rows
```

_min_child_weight
```
public double _min_child_weight
```

_learn_rate
```
public double _learn_rate
```

_eta
```
public double _eta
```

_learn_rate_annealing
```
public double _learn_rate_annealing
```

_sample_rate
```
public double _sample_rate
```

_subsample
```
public double _subsample
```

_col_sample_rate
```
public double _col_sample_rate
```

_colsample_bylevel
```
public double _colsample_bylevel
```

_colsample_bynode
```
public double _colsample_bynode
```

_col_sample_rate_per_tree

public double _col_sample_rate_per_tree

_colsample_bytree
```
public double _colsample_bytree
```

_monotone_constraints

public hex.KeyValue[] _monotone_constraints

_interaction_constraints

public java.lang.String[][] _interaction_constraints

_max_abs_leafnode_pred
```
public float _max_abs_leafnode_pred
```

_max_delta_step
```
public float _max_delta_step
```

_score_tree_interval
```
public int _score_tree_interval
```

_initial_score_interval
```
public int _initial_score_interval
```

_score_interval
```
public int _score_interval
```

_min_split_improvement
```
public float _min_split_improvement
```

_gamma
```
public float _gamma
```

_nthread
```
public int _nthread
```

_save_matrix_directory

public java.lang.String _save_matrix_directory

_build_tree_one_node
```
public boolean _build_tree_one_node
```

_max_bins
```
public int _max_bins
```

_max_leaves
```
public int _max_leaves
```

_tree_method

public XGBoostModel.XGBoostParameters.TreeMethod _tree_method

_grow_policy

public XGBoostModel.XGBoostParameters.GrowPolicy _grow_policy

_booster

public XGBoostModel.XGBoostParameters.Booster _booster

_dmatrix_type

public XGBoostModel.XGBoostParameters.DMatrixType _dmatrix_type

_reg_lambda
```
public float _reg_lambda
```

_reg_alpha
```
public float _reg_alpha
```

_scale_pos_weight
```
public float _scale_pos_weight
```

_calibrate_model
```
public boolean _calibrate_model
```

_calibration_frame

public water.Key<water.fvec.Frame> _calibration_frame

_sample_type

public XGBoostModel.XGBoostParameters.DartSampleType _sample_type

_normalize_type

public XGBoostModel.XGBoostParameters.DartNormalizeType _normalize_type

_rate_drop
```
public float _rate_drop
```

_one_drop
```
public boolean _one_drop
```

_skip_drop
```
public float _skip_drop
```

_gpu_id
```
public int[] _gpu_id
```

_backend

public XGBoostModel.XGBoostParameters.Backend _backend

Constructor Detail
- XGBoostParameters
```
public XGBoostParameters()
```

Method Detail
- algoName
```
public java.lang.String algoName()
```
  Specified by:
  
  algoName in class hex.Model.Parameters
- fullName
```
public java.lang.String fullName()
```
  Specified by:
  
  fullName in class hex.Model.Parameters
- javaName
```
public java.lang.String javaName()
```
  Specified by:
  
  javaName in class hex.Model.Parameters
- progressUnits
```
public long progressUnits()
```
  Specified by:
  
  progressUnits in class hex.Model.Parameters
- getNTrees
```
public int getNTrees()
```
  Specified by:
  
  getNTrees in interface hex.Model.GetNTrees
- getCalibrationFrame
```
public water.fvec.Frame getCalibrationFrame()
```
  Specified by:
  
  getCalibrationFrame in interface hex.tree.PlattScalingHelper.ParamsWithCalibration
- calibrateModel
```
public boolean calibrateModel()
```
  Specified by:
  
  calibrateModel in interface hex.tree.PlattScalingHelper.ParamsWithCalibration
- getParams
```
public hex.Model.Parameters getParams()
```
  Specified by:
  
  getParams in interface hex.tree.PlattScalingHelper.ParamsWithCalibration

Class XGBoostModel.XGBoostParameters

Nested Class Summary

Nested classes/interfaces inherited from class hex.Model.Parameters

Field Summary

Fields inherited from class hex.Model.Parameters

Constructor Summary

Method Summary

Methods inherited from class hex.Model.Parameters

Methods inherited from class water.Iced

Methods inherited from class java.lang.Object

Field Detail

_quiet_mode

_ntrees

_n_estimators

_max_depth

_min_rows

_min_child_weight

_learn_rate

_eta

_learn_rate_annealing

_sample_rate

_subsample

_col_sample_rate

_colsample_bylevel

_colsample_bynode

_col_sample_rate_per_tree

_colsample_bytree

_monotone_constraints

_interaction_constraints

_max_abs_leafnode_pred

_max_delta_step

_score_tree_interval

_initial_score_interval

_score_interval

_min_split_improvement

_gamma

_nthread

_save_matrix_directory

_build_tree_one_node

_max_bins

_max_leaves

_tree_method

_grow_policy

_booster

_dmatrix_type

_reg_lambda

_reg_alpha

_scale_pos_weight

_calibrate_model

_calibration_frame

_sample_type

_normalize_type

_rate_drop

_one_drop

_skip_drop

_gpu_id

_backend

Constructor Detail

XGBoostParameters

Method Detail

algoName

fullName

javaName

progressUnits

getNTrees

getCalibrationFrame

calibrateModel

getParams