Cannot use evaluate or fit methods on HybridRouter

[thepowerfulwoz]

With the recent changes that add inheritance to the different routers, using the evaluate method throws

File "C:\Users\User\AppData\Local\miniforge3\envs\semanticRouter\lib\site-packages\semantic_router\routers\base.py", line 1214, in fit
    best_acc = self._vec_evaluate(Xq=np.array(Xq), y=y)
  File "C:\Users\User\AppData\Local\miniforge3\envs\semanticRouter\lib\site-packages\semantic_router\routers\base.py", line 1258, in _vec_evaluate
    route_choice = self(vector=xq, simulate_static=True)
  File "C:\Users\User\AppData\Local\miniforge3\envs\semanticRouter\lib\site-packages\semantic_router\routers\hybrid.py", line 215, in __call__
    raise ValueError("Either text or sparse_vector must be provided")
ValueError: Either text or sparse_vector must be provided

This is because the __call__ method requires either text or sparse vector, but _vec_evaluate calls it with self(vector=xq, simulate_static=True)

Is there a fix in the works for this?

[jamescalam]

we didn't add support for eval and fit for HybridRouter yet — but I will prioritize

[thepowerfulwoz]

Wonderful Thank you