transformer 回归预测

Transformer模型可以用于回归预测。Transformer是一个Seq2seq（Sequence-to-sequence）模型，可以用于处理序列到序列的任务，包括回归预测。 Transformers是目前非常流行的模型，被广泛应用于许多机器学习任务，包括时间序列预测。因此，可以使用Transformer模型进行回归预测任务，例如预测时间序列中的连续数值变量。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
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