input: from sklearn.naive_bayes import GaussianNB
  
  def train_naive_bayes_classifier(X_train, y_train, X_test):
      """Train a naive bayes classifier using GaussianNB from sklearn and make predictions on the given test data.
      Input: Training data (X_train), target data (y_train), and testing data (X_test).
      >>> train_naive_bayes_classifier([[1, 2], [2, 3]], [0, 1], [[1.5, 2.5]])
      array([1])
      """
      model = GaussianNB()
      model.fit(X_train, y_train)
      return model.predict(X_test)
output:     model = GaussianNB()
      model.fit(X_train, y_train)
      return model.predict(X_test)