FAQ

Torch-RecHub frequently asked questions and troubleshooting guide.

Will there be a TensorFlow version?
- Not currently planned
- This project's core positioning is to provide easy-to-use model implementations for beginners, referencing industry-used models. PyTorch has a wider audience.
Why does running the example give AUC=0?
- The examples use 100 sample records for users to reference data format and feature types, ensuring the code runs smoothly. Accuracy is not guaranteed.
- If you need to test performance, download the data from the links described in the README, then refer to the parameter configuration files in the examples for model training and evaluation.

Annoy Installation
- Windows installation
  - Online installation
  bash
```
pip install annoy
```
  If Windows doesn't have a C++ compilation environment, you may see this error:
  bash
```
error: Microsoft Visual C++ 14.0 or greater is required. Get it with "Microsoft C++ Build Tools": https://visualstudio.microsoft.com/visual-cpp-build-tools/
```
  In this case, use offline installation:
  - Offline installation
  Annoy library download: https://www.lfd.uci.edu/~gohlke/pythonlibs/#_annoy
  bash
```
pip install annoy‑1.17.0‑cp39‑cp39‑win_amd64.whl
```
- Linux/macOS installation
  - Online installation
  bash
```
pip install annoy
```
  Normally macOS can install online successfully. If online installation fails with a nose-related error, use offline compilation:
  - Offline installation
    - Download nose
      Download: https://www.lfd.uci.edu/~gohlke/pythonlibs/#_annoy
      bash
      pip install nose‑1.3.7‑py3‑none‑any.whl
    - Download annoy
      Download: https://files.pythonhosted.org/packages/a1/5b/1c22129f608b3f438713b91cd880dc681d747a860afe3e8e0af86e921942/annoy-1.17.0.tar.gz
      bash
      tar -zxvf annoy-1.17.0.tar.gz cd annoy-1.17.0 python setup.py install
  After installing annoy, you can install torch-rechub:
  bash
```
pip install --upgrade torch-rechub
```

FAQ ​