code: def predict(self, X):
      X_applied = self.apply(X)
      out = ivy.take(self.value, X_applied, axis=0)
      if self.n_outputs == 1:
          out = out.reshape((X.shape[0], self.max_n_classes))
      return out
  
file_path: ivy/ivy/functional/frontends/sklearn/tree/_tree.py
imports: import ivy
  from ._splitter import SplitRecord
label_desc: Use image node_id 5 for calling the Tree obj's underlying member method code with example usage: obj.predict(X) and returns: out