leastsquare_1d

astropy.modeling.statistic.leastsquare_1d(measured_vals, updated_model, weights, x)

Least square statistic with optional weights. Safer than the general leastsquare() for 1D models by avoiding numpy methods that support broadcasting.

Parameters:

measured_valsndarray

Measured data values.

updated_modelModel

Model with parameters set by the current iteration of the optimizer.

weightsndarray or python:None

Array of weights to apply to each residual.

xndarray

Independent variable “x” on which to evaluate the model.

Returns:

respython:float

The sum of least squares.

See also

leastsquare()