utils.desirability.DArb(x, d, tol=None, missing=None)Implements an arbitrary desirability function.
This class allows users to define a custom desirability function by specifying input values (x) and their corresponding desirability values (d).
| Name | Type | Description |
|---|---|---|
| x | numpy.ndarray | The input values for the desirability function. |
| d | numpy.ndarray | The desirability values corresponding to the input values. |
| 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 DArb
import numpy as np
import matplotlib.pyplot as plt
# Define input and desirability values
x = [-5, 0, 5, 10]
d = [0, 0.5, 1, 0.2]
# Create a DArb object
darb = DArb(x, d)
# Predict desirability for a range of inputs
inputs = np.array([-10, -5, 0, 5, 10, 15])
desirability = darb.predict(inputs)
print(desirability)
# [0. 0. 0.5 1. 0.2 0.2]
# Plot the desirability function
darb.plot()[0. 0. 0.5 1. 0.2 0.2]
| Name | Description |
|---|---|
plot |
Plots the arbitrary desirability function. |
predict |
Predicts the desirability values for the given input data. |