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Code generated from XGBoost model includes "None"

See original GitHub issue

When transpiling XGBRegressor and XGBClassifier models such as the following basic example:

from xgboost import XGBRegressor
from sklearn import datasets
import m2cgen as m2c

iris_data = datasets.load_iris(return_X_y=True)

mod = XGBRegressor(booster="gblinear", max_depth=2)
X, y = iris_data[:120], y[:120])

code = m2c.export_to_c(mod)


the resulting c-code includes a Pythonesque None :

double score(double * input) {
    return (None) + (((((-0.391196) + ((input[0]) * (-0.0196191))) + ((input[1]) * (-0.11313))) + ((input[2]) * (0.137024))) + ((input[3]) * (0.645197)));

Probably I am missing some basic step?

Issue Analytics

  • State:closed
  • Created 4 years ago
  • Comments:10 (5 by maintainers)

github_iconTop GitHub Comments

izeigermancommented, Apr 7, 2020

@robinvanemden the issue has been fixed in version 0.7.0. Please feel free to reopen this issue if you notice it again.

StrikerRUScommented, Mar 22, 2020

OK, they suggest using get_params() method to get actual values of parameters. Refer to I’ve created a PR with updates: #185.

Read more comments on GitHub >

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