skg.pow_fit

skg.pow_fit(x, y, sorted=True)[source]

Power fit of the form A + Bx^C.

This implementation is based on the approximate solution to integral equation (22), presented in Régressions et équations intégrales. A power fit is regarded as an exponential fit with a logarithmically scaled x-axis in this algorightm.

Parameters:
  • x (array-like) – The x-values of the data points. The fit will be performed on a raveled version of this array. All elements must be positive.
  • 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 three-element array containing the estimated additive and multiplicative biases and power, in that order.
Return type:

ndarray

References