cs4641-unsupervised-learning-dimensionality-reduction's Introduction
CS 4641: Unsupervised Learning and Dimensionality Reduction Author: Bradley Reardon Code Code can be found at https://github.com/bradreardon/cs4641-unsupervised-learning-dimensionality-reduction. Requirements - Only tested with Python 3.7+ (though lower in-support versions of Python 3 may be sufficient) - Packages specified in `requirements.txt`: - Install with `pip install -r requirements.txt` Before running, make sure that the `out` directory exists and has the correct directory structure. This can be done by running run.sh. Running `main.py` provides usage instructions. In general, commands follow the format `python main.py <algorithm>`. Examples can be found in `run.sh`. Running each script will output statistics (and warnings!) for the training of the algorithm, and will export charts to subdirectories of the `out` directory. Attribution scikit-learn provided excellent documentation, and some of the charts generated by this program can be found in the scikit-learn documentation. Namely, the boosting error chart was modified from the documentation online.
cs4641-unsupervised-learning-dimensionality-reduction's People
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. ๐๐๐
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google โค๏ธ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.