def sumsquared_error(sequence, segment):
"""Return the sum of squared errors for a least squares line fit of one segment of a sequence"""
x0,y0,x1,y1 = segment
p, error = leastsquareslinefit(sequence,(x0,x1))
return error
def sumsquared_error_regr(sequence, segment):
"""Return the sum of squared errors for a least squares line fit of one segment of a sequence"""
x0,y0,x1,y1 = segment
p, error = leastsquareslinefit(sequence,(x0,x1))
return error
def regression(sequence, seq_range):
"""Return (x0,y0,x1,y1) of a line fit to a segment of a sequence using linear regression"""
p, error = leastsquareslinefit(sequence,seq_range)
y0 = p[0]*seq_range[0] + p[1]
y1 = p[0]*seq_range[1] + p[1]
return (seq_range[0],y0,seq_range[1],y1)
def regression(sequence, seq_range):
"""Return (x0,y0,x1,y1) of a line fit to a segment of a sequence using linear regression"""
p, error = leastsquareslinefit(sequence,seq_range)
y0 = p[0]*seq_range[0] + p[1]
y1 = p[0]*seq_range[1] + p[1]
return (seq_range[0],y0,seq_range[1],y1)
