find_model: Find fitting models and test them using given metrics on the...
In jeroenvdhoven/datapiper: datapiper

Find fitting models and test them using given metrics on the test dataset

find_model(train, test, response, models, metrics,
  parameter_sample_rate = 1, seed = 1, prepend_data_checker = T,
  on_missing_column = c("error", "add")[1],
  on_extra_column = c("remove", "error")[1],
  on_type_error = c("ignore", "error")[1], verbose = T,
  save_model = F, preprocess_pipes = list(function(train, test)
  return(list(train = train, test = train, .predict = function(data)
  return(data)))))

`train`	The training dataset
`test`	The testing dataset
`response`	The response column as a string
`models`	A list of models. Each model should be a list, containing at least a training function `.train` and a `.predict` function, plus named vectors of parameters to explore. The `.train` function has to take a `data` argument that stores the training data and a `...` argument for the parameters. The `.predict` function needs to take two arguments, where the first is the model and the second the new dataset. If a parameter only takes a single value, you can use a vector to store options. Otherwise use a list. You can use `model_trainer` as a wrapper for this list. It will also test your inputs.
`metrics`	A list of metrics (functions) that need to be calculated on the train and test response and predictions
`parameter_sample_rate`	Optional parameter. If set in the range `(0,1])`, it will be used to sample the possible combinations of parameters
`seed`	Random seed to set each time before a model is trained
`prepend_data_checker`	Flag indicating if `pipe_check` should be prepended before all pipelines.
`on_missing_column`	See `pipe_check` for details.
`on_extra_column`	See `pipe_check` for details.
`on_type_error`	See `pipe_check` for details.
`verbose`	Should intermediate updates be printed.
`save_model`	Flag indicating if the generated models should be saved. Defaults to False.
`preprocess_pipes`	List of preprocessing pipelines generated using `pipeline`.