Hi,

I try to understand Deepdetect right now, starting with the Plattforms Docker container.
It looks great on pictures, but I have a hard time right now using it :)

My Problem: The docs seems to step over important points, like using JupyterLab. All examples shows the finished Custom masks, but how do I get them?

Is there something missing in the docs?

Example: https://www.deepdetec

Thank you for this fantastic work!

Could it be possible the fit_transform() method returns the KL divergence of the run?

Thx!

Great script! This issue is to raise how difficult it was to actually get it to run on my computer. Most notably, tensorflow and certain Python 3 versions don't play nicely.

It ended up working with the following settings for me (running macOS Sierra 10.12.6):

• Python 3.6.5 (installed through homebrew, [this url in particular](https://raw.githubusercontent.com/Homebrew/homebrew-core/f2a764ef9

Jeff - I get error AttributeError: 'Word2Vec' object has no attribute 'vocab' in TwoStageReduce.py

Environment: Ubuntu 16.04.3 LTS python 2.7 gensim (3.2.0)
Steps to reproduce error:

1. modify TrainModel.py line 38 to: model.train(sentences, total_examples=model.corpus_count, epochs=model.iter) as noted in #3
2. python TrainModel.py
3. python TwoStageReduce.py

loading model..