[METRICS] Various improvements on metrics
- Disallow the use of positional arguments to avoid `predictions` vs `references` mistakes
- Allow to directly feed numpy/pytorch/tensorflow/pandas objects in metrics
The cast function is now called inside `features.encode_example`.
I also added `encode_batch` that was missing.

Moreover I used the cast function in `Dataset.map` to support torch/tensorflow tensors or numpy arrays inputs.

There are tests for tensors inputs in metrics and in .map I think we can merge