class_docstr: Base class for classifiers (image, tabular data, etc.)
  The base class is meant to be framework independent so that each
  framework specific classes (keras, torch, etc.) could inherit and
  implement these methods.
docstr: Prediction on a batch of inputs x.
  type: numpy.ndarray
docstr_tok: ["Prediction","on","a","batch","of","inputs","x.","type",":","numpy.ndarray"]
code: def predict(self, x, verbose=0):
      """
      Prediction on a batch of inputs x.
      type: numpy.ndarray
      """
      raise NotImplementedError
  
imports: import abc
  import sys
  import numpy
  import torch
label_desc: Use image node_id 2 for calling the BaseClassifier obj's underlying member method code with example usage: obj.predict(x, verbose) without return types