=========================================
Performance validation of EasyTPP models
=========================================

We run the experiments on various dataset to validate the implementations: each model is trained with a max number of epochs and 
the best model is selected based on the performance on the valid set, then we report the results on the test set.


Simulated dataset
---------------------------
Conttime
**********************



+--------------+----------+----------+----------+--------------------+
| Models       | Loglike  | RMSE     | Acc      | Num Training Epochs|
+==============+==========+==========+==========+====================+
| Torch_NHP    | -0.93504 |  0.34000 | 0.38656  |        200         |
+--------------+----------+----------+----------+--------------------+
| Tf_NHP       | -0.85774 | 0.34014  | 0.38806  | 200                |
+--------------+----------+----------+----------+--------------------+
| Torch_AttNHP | -1.02001 | 0.33678  | 0.36782  | 200                |
+--------------+----------+----------+----------+--------------------+
| Tf_AttNHP    | -1.02315 | 0.33816  | 0.19456  | 200                |
+--------------+----------+----------+----------+--------------------+
| Torch_AttNHP | -1.00593 | 0.33685  | 0.37723  | 500                |
+--------------+----------+----------+----------+--------------------+
| Tf_AttNHP    | -0.99827 | 0.33717  | 0.36498  | 500                |
+--------------+----------+----------+----------+--------------------+
| Torch_THP    | -0.99827 | 0.33717  | 0.36498  | 500                |
+--------------+----------+----------+----------+--------------------+
| Tf_THP       | -1.01898 | 0.33677  | 0.37875  | 500                |
+--------------+----------+----------+----------+--------------------+



## Real dataset
### Taxi