shilad / pyvowpal Goto Github PK
View Code? Open in Web Editor NEWPython wrapper for the Vowpal Wabbit machine learning library.
Python wrapper for the Vowpal Wabbit machine learning library.
A python wrapper for the Vowpal Wabbit machine learning program. More on Vowpal Wabbit at https://github.com/JohnLangford/vowpal_wabbit/wiki Authored by Shilad Sen. Distributed under the Apache Software Foundation License, version 2: http://www.apache.org/licenses/LICENSE-2.0 You can find code examples in test_examples.py. 1. Edit PATH_VW to direct to the executable binary vw 2. Run python ./test_examples.py Common Issues: Works with vw 7.3. Depending on the version, the parameters (like --l2 for l2 regularization) may change change. Requires: - Python >= 2.4 (for the subprocess module and deque). - The vw executable (from the main VW website). Basic usage of the module: - Create VowpalExample objects for both the training and test set. - Create a new Vowpal object and pass the records to the predict method. - Receive predictions as a return value. There are three ways to specify input examples: - A list of VowpalExample objects. The entire dataset must fit in memory. - An ExampleStream object. You can write VowpalExample objects to it, and they do not need to fit in memory. All training examples must appear before testing examples. - A file in the correct input format. All training examples must appear before testing examples. CHANGELOG: - Added methods to support streaming of input examples. TODO: - Support streaming of prediction results so that they don't need to fit in memory.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.