Rachecave / Deep-Feature-Selection

Python (PyTorch) realization of Deep Feature Selection (Model, Algorithm)

Deep-Feature-Selection

Python (PyTorch) realization of Deep Feature Selection (Model, Algorithm)

Simulation Studies

In the paper, we raised two simulation studies to demonstrate advantage of our methods in dealing with high dimensional data with nonlinear relationship. We have create a guidance for how to implement the examples in Python(PyTorch). Please see the following document in docs/notebooks for details:

• Linear example(notebooks, pdf, html)
• Nonlinear example(notebooks, pdf, html)

We also include the comparison methods using R packages. Please see the following documents in docs/markdowns for details:

• Linear example(Rmarkdown, pdf, html)
• Nonlinear example(Rmarkdown, pdf, html)

The source code is also provided in src folder, and details about using the code, such as package information, environment is given in README