Machine Learning

Machine Learning Overview

Machine Learning prediction is a Globalyzer workbench and Globalyzer Lite feature that help users to handle false positive issues. We suggested to apply the machine learning training results on Rule Sets results as a follow-up step to determine that those detected issues are indeed i18n issues.

Installation

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

Test: Open System Command and type in "python -V", success if reply python version like "Python 3.6.2"

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-3.16.0.4-py2.py3-none-any.whl

Success if response messages have "Successfully installed h2o-3.16.0.4"

Test: On the command line, go into python. In python:

> import h2o

> h2o.init()

This should complete without errors.