docstr: Prediction on x.
  :param x: input
  :return: predicted y (expected dimension = 2)
docstr_tok: ["Prediction","on","x.",":","param","x",":","input",":","return",":","predicted","y","(","expected","dimension","=","2",")"]
code: def predict(self, x, mc=False):
      """
      Prediction on x.
      :param x: input
      :return: predicted y (expected dimension = 2)
      """
      y_pred = self._decode_sequence(x, mc=mc)
      if self.target_col_num == 1:
          y_pred = np.squeeze(y_pred, axis=2)
      return y_pred
  
imports: import pickle
  import numpy
  from tensorflow.keras.models import Model
  from tensorflow.keras.layers import Input, LSTM, Dense
  import tensorflow.keras
  from zoo.orca.automl.model.abstract import BaseModel
  from zoo.orca.automl.metrics import Evaluator
label_desc: Use image node_id 12 for calling the LSTMSeq2Seq obj's underlying member method code with example usage: obj.predict(x, mc) and returns: y_pred