Name: Yuhui Liu
Organization: Shogun Machine Learning Toolbox
Mentor: Heiko, Viktor and Gil
Overview
This page contains links to the work I have done for Shogun as part of my GSoC project, the shogun toolbox has implemented many machine learning algorithm, but some APIs of shogun are not very friendly, so my GSoC project mainly is to improving the user experience, make shogun more easy use,
the first period I did is to make machine class stateless, we don’t want to store feature and label in
machine class, feature/label as passed parameters is a better way. The second period I did is to write label encoder class which can transform one type label to another type. The last period has been spent working on writing composite class which can combine multiple machine learning algorithm, and providing a new cross-validation wrapper which can choose the best parameters from the provided list.
More details can be found in the blog posts.
Blog post:
Make Machine class stateless
| PR |
Description |
State |
| 5053 |
Refactor NearestCentroid class |
Merged |
| 5055 |
Add NonParametricMachine class |
Merged |
| 5072 |
Refactor gaussian process machine |
Merged |
| 5075 |
Refactor KernelMachine |
Merged |
| 5089 |
Refactor LinearMachine |
Merged |
| 5101 |
Refactor MulticlassMachine |
Merged |
| 5104 |
Refactor all machine |
Merged |
| 1 |
Libtooling to find all class access m_labels |
Merged |
| 2 |
Libtooling to automatically refactor class |
Reviewing |
| 5111 |
Make Machine class stateless |
Reviewing |
Add Label Encoder
| PR |
Description |
State |
| 5067 |
Add label encoder |
Merged |
| 5112 |
Add RegressionLabels Encoder |
Reveiwing |
Add composite class
| PR |
Description |
State |
| 5038 |
Add composite class |
Reveiwing |
Suggest class name if class name not found
| PR |
Description |
State |
| 5110 |
Suggest class name if class name not found |
Reveiwing |
ADD CrossValidation Wrapper
| PR |
Description |
State |
| 5113 |
ADD CrossValidation Wrapper |
Reveiwing |