code: def __init__(
      self,
      embed_size=10,
      sequence_embed_size=50,
  ):
      super(SaimeseTwinsClassifier, self).__init__(
          tests.mocks.pipelines.TwinDataWithVaryingEmbedScale(
              test_size=0.5
          ),
          lore.estimators.keras.BinaryClassifier(
              batch_size=1024,
              embed_size=embed_size,
              sequence_embed_size=sequence_embed_size,
              sequence_embedding="lstm",
              hidden_layers=1,
              hidden_width=100,
              cudnn=False,
          ),
      )
  
imports: import tests
  import lore.models
  import lore.models.keras
  import lore.estimators.keras
  import tests.mocks.pipelines
label_desc: Use image node_id 1 to create a new SaimeseTwinsClassifier object from inherited base classes: lore.models.keras with example: obj = SaimeseTwinsClassifier(embed_size, sequence_embed_size)