imblearn.ensemble.RUSBoostClassifier.fit¶
-
RUSBoostClassifier.
fit
(X, y, sample_weight=None)[source]¶ Build a boosted classifier from the training set (X, y).
- Parameters
- X{array-like, sparse matrix} of shape (n_samples, n_features)
The training input samples. Sparse matrix can be CSC, CSR, COO, DOK, or LIL. DOK and LIL are converted to CSR.
- yarray-like of shape (n_samples,)
The target values (class labels).
- sample_weightarray-like of shape (n_samples,), default=None
Sample weights. If None, the sample weights are initialized to
1 / n_samples
.
- Returns
- selfobject
Returns self.