java.lang.Object
- java.lang.Enum<XGBoost.Objective>
- - weka.classifiers.trees.XGBoost.Objective

All Implemented Interfaces:

Serializable, Comparable<XGBoost.Objective>, XGBoost.ParamValueProvider

Enclosing class:

XGBoost
```
public static enum XGBoost.Objective
extends Enum<XGBoost.Objective>
implements XGBoost.ParamValueProvider
```
The set of possible learning objectives.

Enum Constant Summary

Enum Constants
Enum Constant	Description
`COX_REGRESSION`
`GAMMA_REGRESSION`
`HINGE_LOSS_FOR_BINARY_CLASSIFICATION`
`LAMBDAMART_MAXIMISE_MAP`
`LAMBDAMART_MAXIMISE_NDCG`
`LAMBDAMART_PAIRWISE_RANKING`
`LINEAR_REGRESSION`
`LOGISTIC_REGRESSION`
`LOGISTIC_REGRESSION_FOR_BINARY_CLASSIFICATION`
`LOGIT_RAW_REGRESSION_FOR_BINARY_CLASSIFICATION`
`POISSON_REGRESSION_FOR_COUNT_DATA`
`SOFTMAX_MULTICLASS_CLASSIFICATION`
`SOFTPROB_MULTICLASS_CLASSIFICATION`
`TWEEDIE_REGRESSION`

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`String`	`paramValue()`	Provides a proxy object suitable for the XGBoost parameter system in place of this object.
`static XGBoost.Objective`	`valueOf(String name)`	Returns the enum constant of this type with the specified name.
`static XGBoost.Objective[]`	`values()`	Returns an array containing the constants of this enum type, in the order they are declared.

Methods inherited from class java.lang.Enum
clone, compareTo, equals, finalize, getDeclaringClass, hashCode, name, ordinal, toString, valueOf

Methods inherited from class java.lang.Object
getClass, notify, notifyAll, wait, wait, wait

- Enum Constant Detail
  - LINEAR_REGRESSION
```
public static final XGBoost.Objective LINEAR_REGRESSION
```
  - LOGISTIC_REGRESSION
```
public static final XGBoost.Objective LOGISTIC_REGRESSION
```
  - LOGISTIC_REGRESSION_FOR_BINARY_CLASSIFICATION
```
public static final XGBoost.Objective LOGISTIC_REGRESSION_FOR_BINARY_CLASSIFICATION
```
  - LOGIT_RAW_REGRESSION_FOR_BINARY_CLASSIFICATION
```
public static final XGBoost.Objective LOGIT_RAW_REGRESSION_FOR_BINARY_CLASSIFICATION
```
  - HINGE_LOSS_FOR_BINARY_CLASSIFICATION
```
public static final XGBoost.Objective HINGE_LOSS_FOR_BINARY_CLASSIFICATION
```
  - POISSON_REGRESSION_FOR_COUNT_DATA
```
public static final XGBoost.Objective POISSON_REGRESSION_FOR_COUNT_DATA
```
  - COX_REGRESSION
```
public static final XGBoost.Objective COX_REGRESSION
```
  - SOFTMAX_MULTICLASS_CLASSIFICATION
```
public static final XGBoost.Objective SOFTMAX_MULTICLASS_CLASSIFICATION
```
  - SOFTPROB_MULTICLASS_CLASSIFICATION
```
public static final XGBoost.Objective SOFTPROB_MULTICLASS_CLASSIFICATION
```
  - LAMBDAMART_PAIRWISE_RANKING
```
public static final XGBoost.Objective LAMBDAMART_PAIRWISE_RANKING
```
  - LAMBDAMART_MAXIMISE_NDCG
```
public static final XGBoost.Objective LAMBDAMART_MAXIMISE_NDCG
```
  - LAMBDAMART_MAXIMISE_MAP
```
public static final XGBoost.Objective LAMBDAMART_MAXIMISE_MAP
```
  - GAMMA_REGRESSION
```
public static final XGBoost.Objective GAMMA_REGRESSION
```
  - TWEEDIE_REGRESSION
```
public static final XGBoost.Objective TWEEDIE_REGRESSION
```
- Method Detail
  - values
```
public static XGBoost.Objective[] values()
```
    Returns an array containing the constants of this enum type, in the order they are declared. This method may be used to iterate over the constants as follows:
    for (XGBoost.Objective c : XGBoost.Objective.values()) System.out.println(c);
    Returns:
    
    an array containing the constants of this enum type, in the order they are declared
  - valueOf
```
public static XGBoost.Objective valueOf(String name)
```
    Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (Extraneous whitespace characters are not permitted.)
    
    Parameters:
    
    name - the name of the enum constant to be returned.
    
    Returns:
    
    the enum constant with the specified name
    
    Throws:
    
    IllegalArgumentException - if this enum type has no constant with the specified name
    
    NullPointerException - if the argument is null
  - paramValue
```
public String paramValue()
```
    Description copied from interface: XGBoost.ParamValueProvider
    
    Provides a proxy object suitable for the XGBoost parameter system in place of this object.
    
    Specified by:
    
    paramValue in interface XGBoost.ParamValueProvider
    
    Returns:
    
    The object to give to XGBoost as a parameter.

Enum XGBoost.Objective

Enum Constant Summary

Method Summary

Methods inherited from class java.lang.Enum

Methods inherited from class java.lang.Object

Enum Constant Detail

LINEAR_REGRESSION

LOGISTIC_REGRESSION

LOGISTIC_REGRESSION_FOR_BINARY_CLASSIFICATION

LOGIT_RAW_REGRESSION_FOR_BINARY_CLASSIFICATION

HINGE_LOSS_FOR_BINARY_CLASSIFICATION

POISSON_REGRESSION_FOR_COUNT_DATA

COX_REGRESSION

SOFTMAX_MULTICLASS_CLASSIFICATION

SOFTPROB_MULTICLASS_CLASSIFICATION

LAMBDAMART_PAIRWISE_RANKING

LAMBDAMART_MAXIMISE_NDCG

LAMBDAMART_MAXIMISE_MAP

GAMMA_REGRESSION

TWEEDIE_REGRESSION

Method Detail

values

valueOf

paramValue