class_docstr: Base Problem for multi timeseries datasets.
class_docstr_tok: ["Base","Problem","for","multi","timeseries","datasets","."]
code: def feature_encoders(self, data_dir):
      del data_dir
      return {
          "inputs": text_encoder.RealEncoder(),
          "targets": text_encoder.RealEncoder(),
      }
  
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 1 for calling the TimeseriesProblem obj's underlying member method code with example usage: obj.feature_encoders(data_dir) and returns: dict