Helper function to contribute to rows within the settings data frame. Number of columns removed follows a uniform or exponential probability distribution.
Usage
random_removal(
columns,
min_removed_inputs,
max_removed_inputs,
dropout_dist = "exponential"
)Arguments
- columns
Columns of the settings_df that are passed in
- min_removed_inputs
The smallest number of input data frames that may be randomly removed.
- max_removed_inputs
The largest number of input data frames that may be randomly removed.
- dropout_dist
Indication of how input data frames should be dropped. can be "none" (no dropout), "uniform" (uniformly draw number between min and max removed inputs), or "exponential" (like uniform, but using an exponential distribution; default).