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math/pyscikitlearn,
Machine learning algorithms for Python
Branch: CURRENT,
Version: 0.19.1nb1,
Package name: py27scikitlearn0.19.1nb1,
Maintainer: filipscikitlearn is a Python module integrating classic machine learning
algorithms in the tightlyknit scientific Python world (numpy, scipy,
matplotlib). It aims to provide simple and efficient solutions to
learning problems, accessible to everybody and reusable in various
contexts: machinelearning as a versatile tool for science and
engineering.
Required to run:[
lang/g95] [
math/lapack] [
math/blas] [
devel/pysetuptools] [
math/pyscipy] [
math/pynumpy] [
lang/python27]
Required to build:[
devel/pynose] [
pkgtools/cwrappers]
Master sites:
SHA1: 3a3b4d6f27c6bdf12f870a7d78af22e1cdec9eb6
RMD160: dfb92fedadc1fecd9934f85321156f3f5d197a2e
Filesize: 9303.366 KB
Version history: (Expand)
 (20180310) Updated to version: py27scikitlearn0.19.1nb1
 (20171122) Updated to version: py27scikitlearn0.19.1
 (20171115) Updated to version: py27scikitlearn0.18.2
 (20170706) Package added to pkgsrc.se, version py27scikitlearn0.18.1 (created)
CVS history: (Expand)
20180308 20:39:18 by Min Sik Kim  Files touched by this commit (1)  
Log message:
Remove dependencies unused if the Accelerate framework exists
Bump PKGREVISION.

20171121 19:45:29 by Min Sik Kim  Files touched by this commit (3)  
Log message:
math/pyscikitlearn: Update to 0.19.1
Notable new features since 0.18.2:
 `neighbors.LocalOutlierFactor` for anomaly detection
 `preprocessing.QuantileTransformer` for robust feature transformation
 `multioutput.ClassifierChain` metaestimator to simply account
for dependencies between classes in multilabel problem
 multiplicative update in `decomposition.NMF`
 multinomial `linear_model.LogisticRegression` with L1 loss

20171114 23:56:37 by Min Sik Kim  Files touched by this commit (2)  
Log message:
math/pyscikitlearn: Update to 0.18.2
Changes:
 Fixes for compatibility with NumPy 1.13.0
 Minor compatibility changes in the examples

20170705 23:31:28 by Min Sik Kim  Files touched by this commit (4)  
Log message:
Import pyscikitlearn0.18.1 from pkgsrc as math/pyscikitlearn
Packaged by Filip Hajny and updated by Kamel Derouiche and me.
scikitlearn is a Python module integrating classic machine learning
algorithms in the tightlyknit scientific Python world (numpy, scipy,
matplotlib). It aims to provide simple and efficient solutions to
learning problems, accessible to everybody and reusable in various
contexts: machinelearning as a versatile tool for science and
engineering.
