Vowpal Wabbit Python package
Project description
Vowpal Wabbit is a fast machine learning library for online learning.
Installation
From PyPI:
$ pip install vowpalwabbitFrom remote repo:
$ pip install -e git+https://github.com/JohnLangford/vowpal_wabbit/pythonFrom local repo:
$ cd python
$ python setup.py installor
$ cd python
$ pip install -e .Usage
You can use the python wrapper directly like this:
>>> from vowpalwabbit impor pyvw
>>> vw = pyvw.vw(quiet=True)
>>> ex = vw.example('1 | a b c')
>>> vw.learn(ex)
>>> vw.predict(ex)Or you can use the scikit-learn interface like this:
>>> import numpy as np
>>> from sklearn import datasets
>>> from sklearn.cross_validation import train_test_split
>>> from vowpalwabbit.sklearn_vw import VWClassifier
>>>
>>> # generate some data
>>> X, y = datasets.make_hastie_10_2(n_samples=10000, random_state=1)
>>> X = X.astype(np.float32)
>>>
>>> # split train and test set
>>> X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=256)
>>>
>>> # build model
>>> model = VWClassifier()
>>> model.fit(X_train, y_train)
>>>
>>> # evaluate model
>>> model.score(X_train, y_train)
>>> model.score(X_test, y_test))Development
Contributions are welcome for improving the python wrapper to Vowpal Wabbit.
Check for open issues or create one to discuss a feature idea or bug.
Fork the repo on Github and make changes to the master branch (or a new branch off of master).
Write a test in the python/tests folder showing the bug was fixed or feature works (recommend using pytest).
Make sure package installs and tests pass under all supported environments (this calls tox automatically).
Send the pull request.
Tests can be run using setup.py:
$ python setup.py testDirectory Structure:
python : this is where the c++ extension lives
python/vowpalwabbit : this is then main directory for python wrapper code and utilities
python/examples : example python code and jupyter notebooks to demonstrate functionality
python/tests : contains all tests for python code
Note: neither examples nor tests directories are included in the distributed package, they are only for development purposes.
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