update readme

Author: hrzn

README.md

@@ -135,7 +135,7 @@ Model | Univariate | Multivariate | Probabilistic | Multiple-series training | P
 `RegressionModel` (incl `RandomForest`, `LinearRegressionModel` and `LightGBMModel`) | ✅ | ✅ | | ✅ | ✅ | ✅ |
 `RNNModel` (incl. LSTM and GRU); equivalent to DeepAR in its probabilistic version | ✅ | ✅ | ✅ | ✅ | | ✅ | [DeepAR paper](https://arxiv.org/abs/1704.04110)
 `BlockRNNModel` (incl. LSTM and GRU) | ✅ | ✅ | ✅ | ✅ | ✅ | |
-`NBEATSModel` | ✅ | ✅ | | ✅ | ✅ | | [N-BEATS paper](https://arxiv.org/abs/1905.10437)
+`NBEATSModel` | ✅ | ✅ | ✅ | ✅ | ✅ | | [N-BEATS paper](https://arxiv.org/abs/1905.10437)
 `TCNModel` | ✅ | ✅ | ✅ | ✅ | ✅ | | [TCN paper](https://arxiv.org/abs/1803.01271), [DeepTCN paper](https://arxiv.org/abs/1906.04397), [blog post](https://medium.com/unit8-machine-learning-publication/temporal-convolutional-networks-and-forecasting-5ce1b6e97ce4)
 `TransformerModel` | ✅ | ✅ | ✅ | ✅ | ✅ | | 
 `TFTModel` (Temporal Fusion Transformer) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | [TFT paper](https://arxiv.org/pdf/1912.09363.pdf), [PyTorch Forecasting](https://pytorch-forecasting.readthedocs.io/en/latest/models.html)