utils.desirability.DBox(low, high, tol=None, missing=None)Implements a box-like desirability function.
The desirability function assigns a value of 1 for inputs within the range [low, high] and a value of 0 for inputs outside this range.
| Name | Type | Description |
|---|---|---|
| low | float | The lower threshold for the desirability function. |
| high | float | The upper threshold for the desirability function. |
| tol | float | A tolerance value to replace desirability values of 0. Defaults to None. |
| missing | float | The value to use for missing inputs. Defaults to a non-informative value. |
Predicts the desirability values for the given input data.
Plots the desirability function.
Many thanks to Max Kuhn for his implementation of the ‘desirability’ package in R. This class is based on the ‘desirability’ package in R, see: https://cran.r-project.org/package=desirability
from spotdesirability import DBox
import numpy as np
import matplotlib.pyplot as plt
# Create a DBox object
dbox = DBox(low=-1.682, high=1.682)
# Predict desirability for a range of inputs
inputs = np.array([-3, -1.682, 0, 1.682, 3])
desirability = dbox.predict(inputs)
print(desirability)
# [0. 1. 1. 1. 0.]
# Plot the desirability function
dbox.plot()[0. 1. 1. 1. 0.]
| Name | Description |
|---|---|
plot |
Plots the box-like desirability function. |
predict |
Predicts the desirability values for the given input data. |