812322ed8d42e550fda41d8df54d62deb13a1aca,tpot/builtins/feature_transformers.py,ContinuousSelector,transform,#ContinuousSelector#Any#,145

Before Change

        
        selected = auto_select_categorical_features(X, threshold=self.threshold)
        n_features = X.shape[1]
        ind = np.arange(n_features)
        sel = np.zeros(n_features, dtype=bool)
        sel[np.asarray(selected)] = True
        not_sel = np.logical_not(sel) // Non-categorical features
        X_sel = X[:, ind[not_sel]]
        n_selected = np.sum(sel)

        if n_selected == 0:
            // No features selected.

After Change

        array-like, {n_samples, n_components}
        
        selected = auto_select_categorical_features(X, threshold=self.threshold)
        _, X_sel, n_selected, _ = _X_selected(X, selected)

        if n_selected == 0:
            // No features selected.

Instances