mrFlashlight: Wrapper to run multi-response model agnostic interpretable machine learning analyses.

mrFlashlight(
  yhats,
  X,
  Y,
  response = "multi",
  index = 1,
  mode = "regression",
  predict_function = NULL
)

Arguments

yhats	A `list` is the list generated by mrIMLpredicts
X	A `dataframe` is the feature data set
Y	A `dataframe` is a response variable data set (species, OTUs, SNPs etc)
response	`character` single' selects one response, 'multi' selects all responses
index	`numeric` selects which response to create a flashlight object for. Only used when 'single' is selected. The order is the same as 'Y'.
mode	`character`'classification' or 'regression' i.e., is the generative model a regression or classification?
predict_function	`function` user specified predict function

Details

The aim of this function is to enable users to utilize interpretable machine learning methods to understand their multi-response and single response models