class_docstr: Base Problem for multi timeseries datasets.
class_docstr_tok: ["Base","Problem","for","multi","timeseries","datasets","."]
code: def is_generate_per_split(self):
      # generate_data will shard the data into TRAIN and EVAL for us.
      return False
  
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 2 for calling the TimeseriesProblem obj's underlying member method code with example usage: obj.is_generate_per_split() and returns: False