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Sounds to me like having a workflow or similar object to combine learner and model would be better. It's not clear to me how a learner with state would fit into the current framework. For example, what happens when a learner with a model is wrapped? Model removed or automatically retrained? Same with changing hyperparameters for a learner.
this matches better with mlrPipelines
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