LauraeML_utils.badscore: Laurae's Machine Learning Utility: bad input score

In Laurae2/Laurae: Advanced High Performance Data Science Toolbox for R

Description

This function is a helper function to return a bad input score for LauraeML during a training iteration of the optimizer, specifically used when you have no features during training.

Usage

LauraeML_utils.badscore(maximize, score = 9999999)

Arguments

maximize	Type: boolean. The maximize parameter passed from LauraeML (whether to maximize or not the metric).
score	Type: numeric. The score to optimize.

Value

A so bad input score you better avoid such thing.

Examples

## Not run: 
# What if we have no feature selected?
if (sum(y) == 0) {

  # Logging specific
  LauraeML_utils.badlog(logging, x, y, score = NA)
  
  # Last, we return an absurd score which is so high
  # you would rather have a random model than this 0-feature model
  # 
  # This iteration will be ignored by the optimizer if
  # it does not belong to the elite proportion of the optimization iteration
  # which should be obviously true
  return(LauraeML_utils.badinput(maximize,
                                 score = 9999999))
}

## End(Not run)

Laurae2/Laurae documentation built on May 8, 2019, 7:59 p.m.