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
)