Machine Learning

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Revision as of 20:58, 7 March 2018 by Lji (talk | contribs)
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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.


Prerequisite: Python 3.6.x and 3.x

1. Download Python version 3.6+ from website

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 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

Success if response messages have "Successfully installed h2o-"

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

> import h2o

> h2o.init()

This should complete without errors.