What is the difference between fitglm and fitclinear?

I am creating a logistic regression model on MATLAB which will be a binary classifier (outcome is the label 'good' or 'bad'). I have found what appears to be two functions which can fit a logistic model:

1. fitglm()
2. fitclinear()

Can someone please help me understand the difference? So far I have been using fitclinear and enjoying it.

Thanks

Answer 1

[Krishna]

fitclinear trains linear classification models for two-class (binary) learning with high-dimensional, full or sparse predictor data.

For reduced computation time on a high-dimensional data set that includes many predictor variables, you can train a linear classification model by using fitclinear. However, for low- through medium-dimensional predictor data sets, see Alternatives for Lower-Dimensional Data.

You can follow the above chart to get an understanding of how fitglm is used for Logistic regression without regularization.