scikit-learn 0.14.1-1 source package in Ubuntu
Changelog
scikit-learn (0.14.1-1) unstable; urgency=low * The freshiest upstream release - addressed 'clean -a' issue, thus removing the dh_auto_clean override * debian/rules - if available cython >= 0.19 -- re-build Cythonized sources while monitoring for changes using dh_autoreconf -- Yaroslav Halchenko <email address hidden> Thu, 08 Aug 2013 14:06:48 -0400
Upload details
- Uploaded by:
- NeuroDebian Team
- Uploaded to:
- Sid
- Original maintainer:
- NeuroDebian Team
- Architectures:
- any all
- Section:
- python
- Urgency:
- Low Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
scikit-learn_0.14.1-1.dsc | 1.8 KiB | dfca7f8446438a08845f206a5982a98ba1ce5d14d8589b2932d720adb07f7dd6 |
scikit-learn_0.14.1.orig.tar.gz | 6.5 MiB | 0ab1bfa3ae5cf9c61a4a83add3d9d211a91951a436e5e331555f57425693eedd |
scikit-learn_0.14.1-1.debian.tar.gz | 9.6 KiB | 9a9fada5bda94049de6f63fbd5330f4dea1c1f0faa46b120ce5993a805f674f5 |
Available diffs
- diff from 0.13.1-1 to 0.14.1-1 (2.4 MiB)
No changes file available.
Binary packages built by this source
- python-scikits-learn: transitional compatibility package for scikits.learn -> sklearn migration
Provides old namespace (scikits.learn) and could be removed if
dependent code migrated to use sklearn for clarity of the namespace.
- python-sklearn: Python modules for machine learning and data mining
scikit-learn is a collection of Python modules relevant to
machine/statistical learning and data mining. Non-exhaustive list of
included functionality:
- Gaussian Mixture Models
- Manifold learning
- kNN
- SVM (via LIBSVM)
- python-sklearn-doc: documentation and examples for scikit-learn
This package contains documentation and example scripts for
python-sklearn.
- python-sklearn-lib: low-level implementations and bindings for scikit-learn
This is an add-on package for python-sklearn. It provides
low-level implementations and custom Python bindings for the LIBSVM
library.