detkit.FitLogdet.fit#
- FitLogdet.fit(x, y, lam=0.0, smooth_interval=None, verbose=False)#
Fit model to data.
- Parameters:
- xnumpy.array
One-dimensional arrays of length N
- ynumpy.array
One-dimensional arrays of length N
- lamfloat, default=0.0
Regularization strength. If set to zero, the model reverts to standard least squares fitting.
- smooth_intervaltuple (x_low, x_high) or None
If given, the second derivative penalty is enforced in this range.
- verboseboolean, default=False
If True, the optimization results will be printed.
See also