class_docstr: Base Problem for multi timeseries datasets.
class_docstr_tok: ["Base","Problem","for","multi","timeseries","datasets","."]
docstr: Splits of data to produce and number the output shards for each.
code: def dataset_splits(self):
      """Splits of data to produce and number the output shards for each."""
      return [
          {
              "split": problem.DatasetSplit.TRAIN,
              "shards": self.num_train_shards,
          },
          {
              "split": problem.DatasetSplit.EVAL,
              "shards": self.num_eval_shards,
          },
          {
              "split": problem.DatasetSplit.TEST,
              "shards": self.num_test_shards,
          },
      ]
  
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 3 for calling the TimeseriesProblem obj's underlying member method code with example usage: obj.dataset_splits() and returns: list