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A more flexible alternative to scikit-learn Pipelines

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Hi, First of all, I think your library is a great add on to sklearn, especially since it addresses limitations of Pipeline. Having said that, I tried to use skdag...

Rather than a factory method, allow users to construct a graph by applying operators to estimators, for example: ```python dag1 = ( NamedStep(est1, "step1") | NamedStep(est2, "step2") | ( NamedStep(est3,...

First -- this library looks great, pretty much exactly what I was looking for! It appears though, that each dependent estimator is trained on the entire passed dataset directly. This...

Bring all the functionality of the DAGBuilder class into DAG to avoid the need for instantiating a separate factory class and calling the `make_dag()` factory method.