pipelearner
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drsimonj
Tidy machine learning pipelines
Current version of purrr (0.2.3) results in following error being thrown: ```r `cross_d()` is deprecated; please use `cross_df()` instead. ```
In general, a user will want to predict values and score/evaluated their fit after learning all models via `learn()`. The exact functions to do this are many. However, pipeable functions...
Currently, `predict.pipelearner` assumes that the output of `predict` on each fit will return a single vector of values. However, this isn't always the case. For example, default settings on `predict.rpart`...
Currently, `predict.pipelearner()` applies default `predict()` to each fit. However, sometimes this needs to be adjusted. For example, changing `predict` to produce probabilities or classes.