evaluation: Evaluate parameters
In agapow/subtypr: Robust and Validated Patient Subtyping for Precision Medicine

Evaluate a set of parameters for a given method with a given metric.

1 2	evaluation(data_list, method, grid, grid_row, metric = NULL, true_partition = NULL, return_metric = TRUE)

`data_list`	a list of data matrices with continuous data of format samples x features (with the same number of samples).
`method`	a string being the name of the built-in method to be used or a 'method list' with the same format as the built-in ones.
`grid`	the grid generated in `tuning()`.
`grid_row`	the row indicating the set of parameters to be tested in the grid
`metric`	a string being the name of the built-in metric to be used or a 'metric list' with the same format as the built-in ones. If the chosen metric is internal, be sure to choose a metric corresponding to the kind of data returned by the chosen method.
`true_partition`	a factor or integer vector being a classification of the patients. It will be used with external metrics.
`return_metric`	logical. To return the result of the method instead of the value of the metric.