code: def predict(self, X):
      # mimic check in scikit-learn for number of features
      if X.shape[1] != self.X.shape[1]:
          raise ValueError(
              f"Expected {self.X.shape[1]} features but got {X.shape[1]}."
          )
      nearest_neighbors = self.tree.query(X)[1]
      return self.labels[nearest_neighbors]
  
file_path: scikit-image/skimage/future/tests/test_trainable_segmentation.py
imports: from functools import partial
  import numpy
  import pytest
  from scipy import spatial
  from skimage.future import fit_segmenter, predict_segmenter, TrainableSegmenter
  from skimage.feature import multiscale_basic_features
label_desc: Use image node_id 2 for calling the DummyNNClassifier obj's underlying member method code with example usage: obj.predict(X) and returns: self