m2cgen生成机器学习c语言推理代码 - plus studio

from sklearn.datasets import load_diabetes
from sklearn import linear_model

X, y = load_diabetes(return_X_y=True)

estimator = linear_model.LinearRegression()
estimator.fit(X, y)

import m2cgen as m2c
code = m2c.export_to_c(estimator)
with open ('model.c', 'w') as f:
   f.write(code)

double score(double * input) {
    return 152.13348416289597 + input[0] * -10.009866299810508 + input[1] * -239.81564367242302 + input[2] * 519.845920054461 + input[3] * 324.38464550232334 + input[4] * -792.1756385522302 + input[5] * 476.73902100525737 + input[6] * 101.04326793803405 + input[7] * 177.06323767134606 + input[8] * 751.2736995571034 + input[9] * 67.62669218370456;
}

base_score = -math.log(1.0 / self._base_score - 1.0)
                           ~~~~^~~~~~~~~~~~~~~~~~
TypeError: unsupported operand type(s) for /: 'float' and 'NoneType'

import m2cgen as m2c
model.base_score = 0
code = m2c.export_to_c(estimator)
with open ('model.c', 'w') as f:
   f.write(code)