Metadata-Version: 2.0
Name: nupic
Version: 0.2.10
Summary: Numenta Platform for Intelligent Computing
Home-page: https://github.com/numenta/nupic
Author: Numenta
Author-email: help@numenta.org
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX :: Linux
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Dist: asteval (==0.9.1)
Requires-Dist: coverage (==3.7.1)
Requires-Dist: mock (==1.0.1)
Requires-Dist: ordereddict (==1.1)
Requires-Dist: pillow (==2.3.0)
Requires-Dist: psutil (==1.0.1)
Requires-Dist: pytest (==2.4.2)
Requires-Dist: pytest-cov (==1.6)
Requires-Dist: pytest-xdist (==1.8)
Requires-Dist: python-dateutil (==2.1)
Requires-Dist: PyYAML (==3.10)
Requires-Dist: unittest2 (==0.5.1)
Requires-Dist: validictory (==0.9.1)
Requires-Dist: PyMySQL (==0.6.2)
Requires-Dist: DBUtils (==1.1)
Requires-Dist: pyproj (==1.9.3)
Requires-Dist: prettytable (==0.7.2)
Requires-Dist: nupic.bindings (==0.1.5)
Requires-Dist: pycapnp (==0.5.5)
Requires-Dist: numpy (>=1.9.2)

Numenta Platform for Intelligent Computing: a machine intelligence platform that implements the HTM learning algorithms. HTM is a detailed computational theory of the neocortex. At the core of HTM are time-based continuous learning algorithms that store and recall spatial and temporal patterns. NuPIC is suited to a variety of problems, particularly anomaly detection and prediction of streaming data sources.

For more information, see http://numenta.org or the NuPIC wiki at https://github.com/numenta/nupic/wiki.


