Source code for Orange.classification.catgb
from typing import Tuple
import numpy as np
import catboost
from Orange.base import CatGBBaseLearner
from Orange.classification import Learner
from Orange.data import Variable, DiscreteVariable, Table
from Orange.preprocess.score import LearnerScorer
__all__ = ["CatGBClassifier"]
class _FeatureScorerMixin(LearnerScorer):
feature_type = Variable
class_type = DiscreteVariable
def score(self, data: Table) -> Tuple[np.ndarray, Tuple[Variable]]:
model: CatGBClassifier = self(data)
return model.cat_model.feature_importances_, model.domain.attributes
[docs]class CatGBClassifier(CatGBBaseLearner, Learner, _FeatureScorerMixin):
__wraps__ = catboost.CatBoostClassifier