Executor Introduction
======================

We provide a standard Executor for each task, which is responsible for the training, verification and evaluation of the model.
The user can adjust the effect of training by modifying the parameter settings of the executor.

If your model is not satisfied with the existing standard Executor, you can also design a new Executor for it. For details, please refer to :doc:`../developer_guide/implemented_executors`.

.. toctree::
   :maxdepth: 1

   executor/traffic_state_pred
   executor/traj_loc_pred
   executor/map_matching
   executor/eta