XGBoostClassifier Class

XGBoost Classifier class.

Initialize XGBoost Classifier class.

Inheritance

sklearn.base.BaseEstimator

XGBoostClassifier

sklearn.base.ClassifierMixin

XGBoostClassifier

azureml.training.tabular.models._abstract_model_wrapper._AbstractModelWrapper

XGBoostClassifier

Constructor

XGBoostClassifier(random_state=0, n_jobs=1, problem_info=None, **kwargs)

Parameters

random_state

int or <xref:np.random.RandomState>

default value: 0

RandomState instance or None, optional (default=None) If int, random_state is the seed used by the random number generator; If RandomState instance, random_state is the random number generator; If None, the random number generator is the RandomState instance used by np.random.

n_jobs

int

default value: 1

Number of parallel threads.

kwargs

Required

Other parameters Check https://xgboost.readthedocs.io/en/latest/parameter.html for more parameters.

random_state

int or <xref:np.random.RandomState>

Required

RandomState instance or None, optional (default=None) If int, random_state is the seed used by the random number generator. If RandomState instance, random_state is the random number generator. If None, the random number generator is the RandomState instance used by np.random.

n_jobs

int

Required

Number of parallel threads.

kwargs

Required

Other parameters Check https://xgboost.readthedocs.io/en/latest/parameter.html for more parameters.

problem_info

default value: None

Methods

fit	Fit function for XGBoost Classifier model.
get_model	Return XGBoost Classifier model. Else returns None.
get_params	Return parameters for XGBoost Classifier model.
predict	Prediction function for XGBoost Classifier model.
predict_proba	Prediction class probabilities for X for XGBoost Classifier model.

fit

Fit function for XGBoost Classifier model.

fit(X, y, **kwargs)

Parameters

X

ndarray

Required

Input data.

y

ndarray

Required

Input target values.

kwargs

Required

other parameters Check https://xgboost.readthedocs.io/en/latest/parameter.html for more parameters.

Returns

Self after fitting the model.

get_model

Return XGBoost Classifier model.

Else returns None.

get_model()

Returns

Returns the fitted model if fit method has been called.

get_params

Return parameters for XGBoost Classifier model.

get_params(deep=True)

Parameters

deep

bool

default value: True

If True, will return the parameters for this estimator and contained subobjects that are estimators.

Returns

Parameters for the XGBoost classifier model.

predict

Prediction function for XGBoost Classifier model.

predict(X)

Parameters

X

ndarray

Required

Input data.

Returns

Prediction values from XGBoost Classifier model.

predict_proba

Prediction class probabilities for X for XGBoost Classifier model.

predict_proba(X)

Parameters

X

ndarray

Required

Input data.

Returns

Prediction probability values from XGBoost Classifier model.