Summary We propose double/debiased machine learning approaches to infer a parametric component of logistic partially linear model. Our framework is based on Neyman orthogonal score equation consisting two nuisance models for the nonparametric model and conditional mean exposure with control group. To estimate models, we separately consider use high dimensional (HD) sparse regression (nonparamet...