Machine Learning Overview
Machine Learning prediction is a Globalyzer workbench and Globalyzer Lite feature that help users handle false positive issues. We suggest applying machine learning as a follow-up step to scanning with Rule Sets. It helps to determine which candidate issues using Rule Sets are indeed i18n issues.
Prerequisite: Python 3.6.x and H2O.ai 3.x
1. Download Python version 3.6+ from website https://www.python.org/downloads/
2. Install python and add python to PATH environment variable
3. Go to this link http://h2o-release.s3.amazonaws.com/h2o/rel-wheeler/4/index.html and make sure you navigate to the "INSTALL IN PYTHON" tab as shown below.
Install dependencies (prepending with `sudo` if needed): pip install requests pip install tabulate pip install scikit-learn pip install colorama pip install future
At the command line, copy and paste these commands one line at a time:
pip uninstall h2o pip install http://h2o-release.s3.amazonaws.com/h2o/rel-wheeler/4/Python/h2o-188.8.131.52-py2.py3-none-any.whl
Success if response messages have "Successfully installed h2o-184.108.40.206"
Test1: Open System Command and type in "python -V", success if reply python version like "Python 3.6.2"
Test2: On the command line, go into python. In python:
> import h2o > h2o.init()
This should complete without errors.