XGBoostModel.XGBoostParameters (h2o-ext-xgboost version 3.16.0.5 API)

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

All Implemented Interfaces:

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
```
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.MissingValuesHandling`
`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`
`double`	`_col_sample_rate`
`double`	`_col_sample_rate_per_tree`
`double`	`_colsample_bylevel`
`double`	`_colsample_bytree`
`XGBoostModel.XGBoostParameters.DMatrixType`	`_dmatrix_type`
`double`	`_eta`
`float`	`_gamma`
`int`	`_gpu_id`
`XGBoostModel.XGBoostParameters.GrowPolicy`	`_grow_policy`
`int`	`_initial_score_interval`
`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`
`float`	`_min_data_in_leaf`
`double`	`_min_rows`
`float`	`_min_split_improvement`
`float`	`_min_sum_hessian_in_leaf`
`XGBoostModel.XGBoostParameters.MissingValuesHandling`	`_missing_values_handling`
`int`	`_n_estimators`
`XGBoostModel.XGBoostParameters.DartNormalizeType`	`_normalize_type`
`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`
`int`	`_score_interval`
`int`	`_score_tree_interval`
`float`	`_skip_drop`
`double`	`_subsample`
`XGBoostModel.XGBoostParameters.TreeMethod`	`_tree_method`

Fields inherited from class hex.Model.Parameters
_auto_rebalance, _balance_classes, _categorical_encoding, _checkpoint, _class_sampling_factors, _custom_metric_func, _distribution, _fold_assignment, _fold_column, _huber_alpha, _ignore_const_cols, _ignored_columns, _is_cv_model, _keep_cross_validation_fold_assignment, _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 Summary

Constructors
Constructor and Description

XGBoostModel.XGBoostParameters()

Constructors
Constructor and Description
`XGBoostModel.XGBoostParameters()`

Method Summary

Methods
Modifier and Type Method and Description

java.lang.String algoName()

java.lang.String fullName()

java.lang.String javaName()

long progressUnits()
- Methods inherited from class hex.Model.Parameters
  checksum_impl, checksum, defaultDropConsCols, defaultStoppingTolerance, getOrMakeRealSeed, hasCheckpoint, missingColumnsType, read_lock_frames, read_unlock_frames, 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

Methods
Modifier and Type	Method and Description
`java.lang.String`	`algoName()`
`java.lang.String`	`fullName()`
`java.lang.String`	`javaName()`
`long`	`progressUnits()`

Field Detail

_quiet_mode
```
public boolean _quiet_mode
```

_missing_values_handling

public XGBoostModel.XGBoostParameters.MissingValuesHandling _missing_values_handling

_ntrees
```
public int _ntrees
```

_n_estimators
```
public int _n_estimators
```

_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
```

_col_sample_rate_per_tree

public double _col_sample_rate_per_tree

_colsample_bytree
```
public double _colsample_bytree
```

_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
```

_max_bins
```
public int _max_bins
```

_max_leaves
```
public int _max_leaves
```

_min_sum_hessian_in_leaf
```
public float _min_sum_hessian_in_leaf
```

_min_data_in_leaf
```
public float _min_data_in_leaf
```

_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
```

_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
- XGBoostModel.XGBoostParameters
```
public XGBoostModel.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

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

_missing_values_handling

_ntrees

_n_estimators

_max_depth

_min_rows

_min_child_weight

_learn_rate

_eta

_learn_rate_annealing

_sample_rate

_subsample

_col_sample_rate

_colsample_bylevel

_col_sample_rate_per_tree

_colsample_bytree

_max_abs_leafnode_pred

_max_delta_step

_score_tree_interval

_initial_score_interval

_score_interval

_min_split_improvement

_gamma

_max_bins

_max_leaves

_min_sum_hessian_in_leaf

_min_data_in_leaf

_tree_method

_grow_policy

_booster

_dmatrix_type

_reg_lambda

_reg_alpha

_sample_type

_normalize_type

_rate_drop

_one_drop

_skip_drop

_gpu_id

_backend

Constructor Detail

XGBoostModel.XGBoostParameters

Method Detail

algoName

fullName

javaName

progressUnits