docstr: Returns predictions for a single batch of samples.
  
  Args:
      x: Input data. It must be array-like.
  
  Returns:
      NumPy array(s) of predictions.
code: def predict_on_batch(self, x):
      """Returns predictions for a single batch of samples.
  
      Args:
          x: Input data. It must be array-like.
  
      Returns:
          NumPy array(s) of predictions.
      """
      raise NotImplementedError
  
imports: import platform
  import warnings
  import tree
  from keras import backend
  from keras import metrics
  from keras import ops
  from keras import optimizers
  from keras.optimizers.loss_scale_optimizer import LossScaleOptimizer
  from keras.saving import serialization_lib
  from keras.trainers.compile_utils import CompileLoss
  from keras.trainers.compile_utils import CompileMetrics
  from keras.trainers.data_adapters import data_adapter_utils
  from keras.utils import traceback_utils
  from keras.utils import tracking
label_desc: Use image node_id 20 for calling the Trainer obj's underlying member method code with example usage: obj.predict_on_batch(x) without return types