Python 的 Lmfit 包没有收敛到有意义的结果
Python's Lmfit package not converging to a meaningful result
我是运行下面的代码:
import numpy as np
from lmfit import Model
def exp_model(x, ampl1=1.0, tau1=0.1):
exponential = ampl1*np.exp(-x/tau1)
return exponential
x = np.array([2.496,2.528,2.56,2.592,2.624])
y = np.array([8774.52,8361.68,7923.42,7502.43,7144.11])
dec_model = Model(exp_model, nan_policy='propagate')
results = dec_model.fit(y, x=x, ampl1=y[0])
results.plot()
我得到的结果是
这意味着由于某种原因适配失败了。我不知道为什么。它以前曾用于类似的数据。任何帮助将不胜感激。
它没有收敛,因为 tau1 参数的初始值与实际值相差太远。下面的代码运行良好。
import numpy as np
from lmfit import Model
def exp_model(x, ampl1=1.0, tau1=1.0): # The initial value of tau1 was changed from 0.1 to 1.0
exponential = ampl1*np.exp(-x/tau1)
return exponential
x = np.array([2.496,2.528,2.56,2.592,2.624])
y = np.array([8774.52,8361.68,7923.42,7502.43,7144.11])
dec_model = Model(exp_model, nan_policy='propagate')
results = dec_model.fit(y, x=x, ampl1=y[0])
results.plot()
我是运行下面的代码:
import numpy as np
from lmfit import Model
def exp_model(x, ampl1=1.0, tau1=0.1):
exponential = ampl1*np.exp(-x/tau1)
return exponential
x = np.array([2.496,2.528,2.56,2.592,2.624])
y = np.array([8774.52,8361.68,7923.42,7502.43,7144.11])
dec_model = Model(exp_model, nan_policy='propagate')
results = dec_model.fit(y, x=x, ampl1=y[0])
results.plot()
我得到的结果是
这意味着由于某种原因适配失败了。我不知道为什么。它以前曾用于类似的数据。任何帮助将不胜感激。
它没有收敛,因为 tau1 参数的初始值与实际值相差太远。下面的代码运行良好。
import numpy as np
from lmfit import Model
def exp_model(x, ampl1=1.0, tau1=1.0): # The initial value of tau1 was changed from 0.1 to 1.0
exponential = ampl1*np.exp(-x/tau1)
return exponential
x = np.array([2.496,2.528,2.56,2.592,2.624])
y = np.array([8774.52,8361.68,7923.42,7502.43,7144.11])
dec_model = Model(exp_model, nan_policy='propagate')
results = dec_model.fit(y, x=x, ampl1=y[0])
results.plot()