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MLglass: A Transparency with models

Project description

Machine Learning Models with glass (Transparency)

Links: Github | PyPi - project

Installation: pip install spkit


Table of contents

-Logistic Regression -Naive Bayes -Decision Trees

Installation

Requirement: numpy, matplotlib

with pip

pip install mlglass

Build from the source

Download the repository or clone it with git, after cd in directory build it from source with

python setup.py install

Machine Learning models - with visualizations

  • Logistic Regression
  • Naive Bayes
  • Decision Trees
  • DeepNet (to be updated)

Machine Learning

Logistic Regression - View in notebook

Naive Bayes - View in notebook

Decision Trees - View in notebook

[source code] | [jupyter-notebook]

Plottng tree while training

**view in repository **


Contacts:

PhD from Queen Mary University of London, Postdoctoral at University of East London


Project details


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Files for mlglass, version 0.0.1
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