Changed a default hyperparameter value and bugfix

Reverted the default hyperparameter value of boosting_steps_before_pruning_is_done to 0. Further tests indicate that pruning may more often than not slightly increase predictiveness, but this comes at a significant computational cost if the model gets many terms.

Fixed a rare bug related to the updating of term coefficients.