Model_building - models

[JanBenisek]

• Create the same model class as for logistic regression but for regression. Let's use model from sklearn, RMSE as evaluation, all the relevant model parameters:

  cobra/cobra/model_building/models.py

  Line 11 in 48d8a9a

  class LogisticRegressionModel:

• Document and write/modify unit tests

[MatthiasRoels]

You can implement light-weight wrappers around scikit-learn models (as is already the case with LogisticRegressionModel) with a train and scoring function and redesign the whole construction so that ForwardFeatureSelection accepts any model class from models.py

[JanBenisek]

Isn't that the case now? If there is LinearRegressionModel with the same look as LogisticRegressionModel, forward selection will work.

[sandervh14]

Reopened to solve a bug in model scoring.
I attempted reusing the old pull request, but it will make reviewing unnecessarily complicated + github mentions it wants to automatically close the issue because an other issue to the old pull request is closed already.
So, see the new linked pull request.