December 2017
Intermediate to advanced
386 pages
10h 42m
English
This table represents the main parameters of the method:
| Parameters |
x: array_like, shape (M,). x coordinates of the M sample points (x[i], y[i]). y : array_like, shape (M,) or (M, K). y coordinates of the sample points. Several datasets of sample points sharing the same x coordinates can be fitted at once by passing in a 2D array that contains one dataset per column. deg: int. Degree of the fitting polynomial. rcond: float, optional. Relative condition number of the fit. Singular values smaller than this relative to the largest singular value will be ignored. The default value is len(x)*eps, where eps is the relative precision of the float type, about 2e-16 in most cases. full: bool, optional. Switch determining nature ... |
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