imblearn.ensemble.BalancedRandomForestClassifier.apply¶
-
BalancedRandomForestClassifier.
apply
(X)[source]¶ Apply trees in the forest to X, return leaf indices.
- Parameters
- X{array-like, sparse matrix} of shape (n_samples, n_features)
The input samples. Internally, its dtype will be converted to
dtype=np.float32
. If a sparse matrix is provided, it will be converted into a sparsecsr_matrix
.
- Returns
- X_leavesndarray of shape (n_samples, n_estimators)
For each datapoint x in X and for each tree in the forest, return the index of the leaf x ends up in.