xorbits.lightgbm.LGBMRanker#
- class xorbits.lightgbm.LGBMRanker(*args, **kwargs)[source]#
LightGBM ranker.
Warning
scikit-learn doesn’t support ranking applications yet, therefore this class is not really compatible with the sklearn ecosystem. Please use this class mainly for training and applying ranking models in common sklearnish way.
This docstring was copied from lightgbm.
- __init__(*args, **kwargs)#
Methods
__init__(*args, **kwargs)fit(X, y[, sample_weight, init_score, ...])Build a gradient boosting model from the training set (X, y).
get_metadata_routing()Get metadata routing of this object.
get_params([deep])Get parameters for this estimator.
load_model(model)predict(X, **kw)Return the predicted value for each sample.
predict_proba(X, **kwargs)set_fit_request(*[, eval_init_score, ...])Request metadata passed to the
fitmethod.set_params(**params)Set the parameters of this estimator.
set_predict_request(*[, num_iteration, ...])Request metadata passed to the
predictmethod.to_local()