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libtlda

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0.1.5 libtlda-0.1.5-py2.py3-none-any.whl

Wheel Details

Project: libtlda
Version: 0.1.5
Filename: libtlda-0.1.5-py2.py3-none-any.whl
Download: [link]
Size: 27459
MD5: 05877359a28412fa5f13afa99dac52a1
SHA256: 2b6c5cdbbd76276eb07c35371edd90a2e0a573c9d2f7fbc736a00230adfde47a
Uploaded: 2018-04-16 19:37:18 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: libtlda
Version: 0.1.5
Summary: Library of transfer learning and domain adaptation classifiers.
Author: Wouter Kouw
Author-Email: wmkouw[at]gmail.com
Home-Page: https://github.com/wmkouw/libTLDA
Project-Url: Tracker, https://github.com/wmkouw/libTLDA/issues
License: Apache 2.0
Keywords: machine learning,domain adaptation,transfer learning
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries
Requires-Dist: numpy (>=1.13.3)
Requires-Dist: matplotlib (>=2.0.2)
Requires-Dist: ipython (>=5.5.0)
Requires-Dist: scipy (>=0.11)
Requires-Dist: scikit-learn (>=0.15.0)
Requires-Dist: Keras (>=2.0.0)
Requires-Dist: tensorflow (>=0.12.1)
Requires-Dist: cvxopt (>=1.1.9)
Description-Content-Type: text/markdown
[Description omitted; length: 4120 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.31.0)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

Path Digest Size
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libtlda/tcpr.py sha256=tNhLXdE1ts1NXGZKXzr6uh8AlqSceAn-Qa4J2x3My-E 15358
libtlda/util.py sha256=JfW72aG5onnG_Q1NsXwpRWxkAzvFKigRMLEgmNtaLlg 6325
libtlda-0.1.5.dist-info/METADATA sha256=0eR7MzDFQnVeN1ilcdOsJ0jByQFbFUUr01CiK28FcZI 5339
libtlda-0.1.5.dist-info/RECORD — —
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libtlda-0.1.5.dist-info/top_level.txt sha256=MSgnkyS36U8doii0-YzzjXsNAekpCcoOlU1rwptR1bs 8

top_level.txt

libtlda