[Feature]: We have to manage the experiments in the dashboard.

[aiakide]

✏️ Problem Description

It is necessary that we can use the experiments that we create with niceML in the dashboard. The components of the basic UI and later the experiment components must be able to retrieve the experiments from a central location.

💡 Feature Request

We need an ExperimentManager with which we can request experiments there.
It should be possible to filter generically on this ExperimentManager to obtain the required experiments.

🌍 Context

No response

🔍 Additional Information

The experiments can or should be filtered as follows:

exp_manager = ExperimentManager(...)

experiments = exp_manager.filter_by(experiment_type=ExperimentType.SEMSEG, ...)

All attributes of an experiment should be accepted as filter parameters.

In addition, it would be nice to add as many unit tests as possible (pytest.fixture, pytest.mark.parametrize).
In case of an exception, please use user-defined exceptions and do not throw generic exceptions like ValueError.
It would be nice to know what is going on inside the ExperimentManager. So please add logging to the ExperimentManager

👍 Code of Conduct

• I agree to follow this project's Code of Conduct

[aiakide]

Solved by #10