b037591ca387624db8c70e146272f25f9db8bd0a,imblearn/ensemble/_forest.py,BalancedRandomForestClassifier,fit,#BalancedRandomForestClassifier#Any#Any#Any#,387

Before Change

        // Validate or convert input data
        X = check_array(X, accept_sparse="csc", dtype=DTYPE)
        y = check_array(y, accept_sparse="csc", ensure_2d=False, dtype=None)
        if sample_weight is not None:
            sample_weight = check_array(sample_weight, ensure_2d=False)
        if issparse(X):
            // Pre-sort indices to avoid that each individual tree of the

After Change

        

        // Validate or convert input data
        if issparse(y):
            raise ValueError(
                "sparse multilabel-indicator for y is not supported."
            )
        X, y = self._validate_data(X, y, multi_output=True,
                                   accept_sparse="csc", dtype=DTYPE)
        if sample_weight is not None:
            sample_weight = _check_sample_weight(sample_weight, X)

Instances