scipy.cluster
scipy.cluster.vq
scipy.cluster.hierarchy
scipy.constants
scipy.fft
scipy.fftpack
scipy.integrate
scipy.interpolate
scipy.io
scipy.linalg
scipy.linalg.blas
scipy.linalg.lapack
scipy.linalg.interpolative
scipy.misc
scipy.ndimage
scipy.odr
scipy.optimize
scipy.signal
scipy.sparse
scipy.sparse.linalg
scipy.sparse.csgraph
scipy.spatial
scipy.spatial.distance
scipy.special
scipy.stats
scipy.stats.contingency
scipy.stats.mstats
scipy.stats.qmc
scipy.stats.sampling
Return weighted sum of squared residuals of the spline approximation.
This is equivalent to:
sum((w[i] * (y[i]-spl(x[i])))**2, axis=0)
previous
scipy.interpolate.InterpolatedUnivariateSpline.get_knots
next
scipy.interpolate.InterpolatedUnivariateSpline.integral