def get(self):
xdata = [ 0, 7, 14, 21, 28, 35, 42, 49, 56, 63, 70, 77, 84 ]
ydata = [ 0.00, 17.93, 36.36, 67.76, 98.10, 131.00, 169.50, 205.50, 228.30, 247.10, 250.50, 253.80, 254.50 ]
# initial guesses
p0 = [ 257, 42, 38 ]
popts = logistic.levenberg_marquardt(p0).fit(xdata, ydata)
self.write({'params': popts.tolist()})
def post(self):
"""
curl --data "{\"x\": [ 0, 7, 14, 21, 28, 35, 42, 49, 56, 63, 70, 77, 84 ], \"y\": [ 0.00, 17.93, 36.36, 67.76, 98.10, 131.00, 169.50, 205.50, 228.30, 247.10, 250.50, 253.80, 254.50 ], \"init_params\": [ 257, 42, 38 ]}" http://localhost:8888/fit/lm
"""
print self.request.body
data = tornado.escape.json_decode(tornado.escape.url_decode(self.request.body))
popts = logistic.levenberg_marquardt(data['init_params']).fit(data['x'], data['y'])
self.write({'params': popts.tolist()})
#!/usr/bin/python # -*- coding: utf-8 -*- from pyloglet import logistic # Sunflower data (single logistic) # data xdata = [ 0, 7, 14, 21, 28, 35, 42, 49, 56, 63, 70, 77, 84 ] ydata = [ 0.00, 17.93, 36.36, 67.76, 98.10, 131.00, 169.50, 205.50, 228.30, 247.10, 250.50, 253.80, 254.50 ] # initial guesses p0 = [ 257, 42, 38 ] popt = logistic.levenberg_marquardt(p0).fit(xdata, ydata) print popt # hold K popt = logistic.levenberg_marquardt(p0, hold=[True, False, False]).fit(xdata, ydata) print popt # hold K popt = logistic.marchetti().fit(xdata, ydata) print popt
