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Implement a new score function score = 'IV-type' for the PLIV model (for details see #161)
--> API change from DoubleMLPLIV$new(obj_dml_data, ml_g, ml_m, ml_r [, ...]) to DoubleMLPLIV$new(obj_dml_data, ml_g, ml_m, ml_r, ml_g [, ...])
Adapt the nuisance estimation for the 'IV-type' score for the PLR model (for details see #161)
--> API change from DoubleMLPLR$new(obj_dml_data, ml_g, ml_m [, ...]) to DoubleMLPLR$new(obj_dml_data, ml_l, ml_m, ml_g [, ...])
Use task_type instead of learner_class to identify whether a learner is meant to regress or classify (this change makes it possible to easily integrate pipelines from mlr3pipelines as learner for the nuisance functions) #141