Models#

Some experiments of tfts in Kaggle Dataset

Models supported#

You can use below models with AutoModel

  • RNN

  • Seq2seq

  • TCN

  • WaveNet

  • Bert

  • Transformer

  • DLinear

  • NBeats

  • AutoFormer

  • Informer

config = AutoConfig.for_model("seq2seq")
model = AutoModel.from_config(config, predict_sequence_length=predict_sequence_length)

Add a custom head for tfts model

config = AutoConfig.for_model("seq2seq")
model = AutoModel.from_config(config, predict_sequence_length=predict_sequence_length)
model.project = tf.keras.Sequential(
    layers=[],
    trainable=True,
    name=None
)