code: def __init__(self, hidden_size, output_size):
      super(DecoderRNNNumerical, self).__init__()
      self.hidden_size = hidden_size
      self.in_activation = nn.Sigmoid()
      self.dropout = nn.Dropout(0.2)
      self.gru = nn.GRU(output_size, hidden_size, batch_first=True)
      self.out = nn.Linear(hidden_size, output_size)
  
file_path: lightwood/lightwood/encoder/time_series/helpers/rnn_helpers.py
imports: import torch
  import torch.nn
  import numpy
  from lightwood.helpers.torch import LightwoodAutocast
label_desc: Use image node_id 1 to create a new DecoderRNNNumerical object from inherited base classes: nn with example: obj = DecoderRNNNumerical(hidden_size, output_size)