Instructions on setting up Keras and Tensorflow for AutoEncoder in PyOD

[yzhao062]

It is nice that PyOD includes some neural network based models, such as AutoEncoder. However, you may find that after pip install pyod, AutoEncoder models do not run. This is expected since I do not want PyOD relies on too many packages, and not everyone needs to run AutoEncoder.

**If you have tensorflow-gpu installed, keras would automatically run with GPU. **
If you want to run AutoEncoder, please first install keras+a backend library, e.g., tensorflow. Either of the following two should do the installation for you:

• pip install keras tensorflow or pip install keras tensorflow-gpu
• conda install keras tensorflow or pip install keras tensorflow-gpu

You need tensorflow-gpu if your device have GPU and want to leverage it.

After keras and tensorflow being installed, you are ready to run auto_encoder_example.py.

Here are some potential error messages you may encounter:

1. ModuleNotFoundError: No module named 'theano'

In this case, you should specify keras backend to the one you want to use, e.g., TensorFlow
Go to $HOME/.keras/keras.json, and change the "backend" to "tensorflow"

2. ModuleNotFoundError: No module named 'error'

In this case, you need to install keras and tensorflow with conda, which can either be done in the GUI or simply use "conda install keras" and "conda install tensorflow"

[yzhao062]

Replaced by wiki page. Please check the latest update there.