Metadata-Version: 2.1
Name: alpaca-ml
Version: 0.9.2
Summary: Active learning utilities for machine learning applications
Home-page: https://github.com/stat-ml/alpaca
Author: Maxim Panov and Evgenii Tsymbalov and Kirill Fedyanin
Author-email: k.fedyanin@skoltech.ru
License: Apache License 2.0
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.5
Description-Content-Type: text/markdown
Requires-Dist: black
Requires-Dist: pytest
Requires-Dist: pylint
Requires-Dist: pytest-html
Requires-Dist: pydocstyle
Requires-Dist: matplotlib
Requires-Dist: requests
Requires-Dist: tqdm
Requires-Dist: scikit-learn
Requires-Dist: dppy (>=0.2.0)
Requires-Dist: pandas
Requires-Dist: torch

alpaca
======

.. image:: https://raw.githubusercontent.com/stat-ml/alpaca/master/images/alpaca.png

Package for active learning and uncertainty quantification in neural nets.

Installation
------------

You can install the package via pip

.. code-block:: bash

    pip install alpaca-ml

Code examples
-------------
Tutorial are available as example notebooks in `examples` folder.

- [Uncertainty for classification task](examples/classification_uq.ipynb)
- [Uncertainty for regression task](examples/regression_uq.ipynb)
- [Active learning on regression](examples/active_learning.ipynb)
- [Uncertainty visualization](examples/visualization.ipynb)


