class_docstr: Class for the PinBall loss for quantile regression
class_docstr_tok: ["Class","for","the","PinBall","loss","for","quantile","regression"]
docstr: Args:
      loss_func : torch.nn._Loss
          Loss function to be used as the
          base loss for pinball loss
      quantiles : list
          list of quantiles estimated from the model
docstr_tok: ["Args",":","loss_func",":","torch.nn._Loss","Loss","function","to","be","used","as","the","base","loss","for","pinball","loss","quantiles",":","list","list","of","quantiles","estimated","from","the","model"]
code: def __init__(self, loss_func, quantiles):
      """
      Args:
          loss_func : torch.nn._Loss
              Loss function to be used as the
              base loss for pinball loss
          quantiles : list
              list of quantiles estimated from the model
      """
      super().__init__()
      self.loss_func = loss_func
      self.quantiles = quantiles
  
imports: import torch
  from torch.nn.modules.loss import _Loss
label_desc: Use image node_id 1 to create a new PinballLoss object from inherited base classes: _Loss with example: obj = PinballLoss(loss_func, quantiles)