implementation of rudimentary evaluation functionality, should include:

• computation of methods' predictions on test set, after training on training set
• computation of common average and aggregate losses/scores for classification and regression
• interface to metrics/scoring functionality as in sklearn
• at first, preliminary design of the above

Note: not full-blown orchestration and experiment management

Conditional on #2 since calls the estimator interface which needs to be consolidated first.