skg.exp_fit

skg.exp_fit(x, y, sorted=True)

Exponential fit of the form .

This implementation is based on the approximate solution to integral equation (22), presented in Régressions et équations intégrales.

Parameters:

• x (array-like) – The x-values of the data points. The fit will be performed on a raveled version of this array.
• y (array-like) – The y-values of the data points corresponding to x. Must be the same size as x. The fit will be performed on a raveled version of this array.
• sorted (bool) – Set to True if x is already monotonically increasing or decreasing. If False, x will be sorted into increasing order, and y will be sorted along with it.

Returns:

a, b, c – A 3-element array of optimized fitting parameters. The first element is the additive bias, the second the multiplicative, and the third the exponential.

Return type:

ndarray

References

• [Jacquelin] “Régressions et équations intégrales”, pp. 15-18.