class_docstr: Base Problem for multi timeseries datasets.
class_docstr_tok: ["Base","Problem","for","multi","timeseries","datasets","."]
code: def hparams(self, defaults, unused_model_hparams):
      p = defaults
      p.modality = {
          "inputs": modalities.ModalityType.REAL_L2_LOSS,
          "targets": modalities.ModalityType.REAL_L2_LOSS,
      }
      p.vocab_size = {
          "inputs": self.num_series,
          "targets": self.num_series,
      }
      p.input_space_id = problem.SpaceID.REAL
      p.target_space_id = problem.SpaceID.REAL
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  from tensor2tensor.data_generators import generator_utils
  from tensor2tensor.data_generators import problem
  from tensor2tensor.data_generators import text_encoder
  from tensor2tensor.data_generators import timeseries_data_generator
  from tensor2tensor.layers import modalities
  from tensor2tensor.utils import metrics
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
label_desc: Use image node_id 16 for calling the TimeseriesProblem obj's underlying member method code with example usage: obj.hparams(defaults, unused_model_hparams) without return types