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A library for factorization machines and polynomial networks for classification and regression in Python.

Home Page: http://contrib.scikit-learn.org/polylearn/

License: BSD 2-Clause "Simplified" License

Makefile 0.59% Shell 3.32% Python 89.47% PowerShell 3.21% Batchfile 3.40%

machine-learning factorization-machines polynomial-regression polynomial-networks

polylearn's Introduction

scikit-learn-contrib

scikit-learn-contrib is a github organization for gathering high-quality scikit-learn compatible projects. It also provides a template for establishing new scikit-learn compatible projects.

Vision

With the explosion of the number of machine learning papers, it becomes increasingly difficult for users and researchers to implement and compare algorithms. Even when authors release their software, it takes time to learn how to use it and how to apply it to one's own purposes. The goal of scikit-learn-contrib is to provide easy-to-install and easy-to-use high-quality machine learning software. With scikit-learn-contrib, users can install a project by pip install sklearn-contrib-project-name and immediately try it on their data with the usual fit, predict and transform methods. In addition, projects are compatible with scikit-learn tools such as grid search, pipelines, etc.

Projects

If you would like to include your own project in scikit-learn-contrib, take a look at the workflow.

DenMune: Density-peak clustering using mutual nearest neighbors

A simple-but-efficient density-based clustering algorithm that can find clusters of arbitrary size, shapes and densities in two-dimensions. Higher dimensions are first reduced to 2-D using the t-sne. The algorithm relies on a single parameter K, the number of nearest neighbors.

Read The Docs, Read the Paper

Maintained by: Mohamed Abbas

lightning

Large-scale linear classification, regression and ranking.

Maintained by Mathieu Blondel and Fabian Pedregosa.

skglm

Fast and modular Generalized Linear Models with support for models missing in scikit-learn.

Maintained by Mathurin Massias, Pierre-Antoine Bannier, Quentin Klopfenstein and Quentin Bertrand.

py-earth

A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines.

Maintained by Jason Rudy and Mehdi.

imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.

Maintained by Guillaume Lemaitre, Fernando Nogueira, Dayvid Oliveira and Christos Aridas.

polylearn

Factorization machines and polynomial networks for classification and regression in Python.

Maintained by Vlad Niculae.

forest-confidence-interval

Confidence intervals for scikit-learn forest algorithms.

Maintained by Ariel Rokem, Kivan Polimis and Bryna Hazelton.

hdbscan

A high performance implementation of HDBSCAN clustering.

Maintained by Leland McInnes, jc-healy, c-north and Steve Astels.

categorical-encoding

A library of sklearn compatible categorical variable encoders.

Maintained by Will McGinnis and Paul Westenthanner

boruta_py

Python implementations of the Boruta all-relevant feature selection method.

Maintained by Daniel Homola

sklearn-pandas

Pandas integration with sklearn.

Maintained by Israel Saeta Pérez

skope-rules

Machine learning with logical rules in Python.

Maintained by Florian Gardin, Ronan Gautier, Nicolas Goix and Jean-Matthieu Schertzer.

stability-selection

A Python implementation of the stability selection feature selection algorithm.

Maintained by Thomas Huijskens

metric-learn

Metric learning algorithms in Python.

Maintained by CJ Carey, Yuan Tang, William de Vazelhes, Aurélien Bellet and Nathalie Vauquier.

polylearn's People

Contributors

Stargazers

Watchers

Forkers

vene colinsongf pvl benjamesbabala chagge chirayukong wellwang hhh920406 nonva xueyumao henryslzhao stitchfix ml-lab zhouyonglong neonnnnn anirband ml-tools saikrishna41 p768lwy3 greguig jiapei100 m0tao0 yizhiai1994 molimomo vonjackustc amarchin radovankavicky gapdata autapomorphy konstantinklepikov edwardljh vishalbelsare sandy4321 blankcheng alfords ahmad-abdellatif jckkvs tdl77 syq23719034

polylearn's Issues

Linear solver doesn't always converge

Encountered this on real-world data. It took me a while to figure out that it's caused by the linear component.

Quasi-minimal example: https://gist.github.com/vene/c1647463b5fcf9e9a296fbd0e00f243d

Output:

Iteration 1 violation sum 68.72330244903479
Iteration 2 violation sum 368.2087780152152
Iteration 3 violation sum 1754.4766427368756
Iteration 4 violation sum 5460.209972642508
Iteration 5 violation sum 15080.942167303821
Iteration 6 violation sum 88932.88942863586
Iteration 7 violation sum 372404.07721860753
Iteration 8 violation sum 257169.31145894167
Iteration 9 violation sum 181084.87376514036
Iteration 10 violation sum 110174.84696971651

cannot import name 'FactorizationMachineClassifier'

Hi,
I'm new to Python, so it could problem with my lack of knowledge, but:
I've installed polylearn (git ... etc.), now line:
from polylearn import FactorizationMachineClassifier
results in error:
cannot import name 'FactorizationMachineClassifier'
I'm using Spyder and Python 3.5.2 |Anaconda 4.1.1 (64-bit).
I've tried to use Python2.7, but I got `ImportError: no module named polylearn' ...
So I don't know, is it a problem with polylearn or I missed some steps.

packaging up for PIP

Any plans on packaging it up for pip so that the sudo isn't needed? I'm building it on a machine where I don't have sudo access so I can't finish the installation.

Failing tests under win32 & py2.7.8

See, e.g. this log.

I'll be skipping all tests on this platform for now.

No module polylearn.loss_fast

`In [1]: import polylearn

ImportError Traceback (most recent call last)
in ()
----> 1 import polylearn

/Users/manas/projects/polylearn/polylearn/init.py in ()
----> 1 from .factorization_machine import FactorizationMachineRegressor
2 from .factorization_machine import FactorizationMachineClassifier
3 from .polynomial_network import PolynomialNetworkRegressor
4 from .polynomial_network import PolynomialNetworkClassifier

/Users/manas/projects/polylearn/polylearn/factorization_machine.py in ()
22 from lightning.impl.dataset_fast import get_dataset
23
---> 24 from .base import _BasePoly, _PolyClassifierMixin, _PolyRegressorMixin
25 from .kernels import _poly_predict
26 from .cd_direct_fast import _cd_direct_ho

/Users/manas/projects/polylearn/polylearn/base.py in ()
10 from sklearn.externals import six
11
---> 12 from .loss import CLASSIFICATION_LOSSES, REGRESSION_LOSSES
13
14

/Users/manas/projects/polylearn/polylearn/loss.py in ()
2 # License: Simplified BSD
3
----> 4 from .loss_fast import Squared, SquaredHinge, Logistic
5
6

ImportError: No module named 'polylearn.loss_fast'`

it can not be installed on windows computer

e:\factirizatoin machine including FFM\code\polylearn_master_June6>python setup.py build
Appending polylearn.tests configuration to polylearn
Ignoring attempt to set 'name' (from 'polylearn' to 'polylearn.tests')
Appending polylearn configuration to
Ignoring attempt to set 'name' (from '' to 'polylearn')
running build
running config_cc
unifing config_cc, config, build_clib, build_ext, build commands --compiler options
running config_fc
unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
running build_src
build_src
building extension "polylearn.loss_fast" sources
building extension "polylearn.cd_direct_fast" sources
building extension "polylearn.cd_linear_fast" sources
building extension "polylearn.cd_lifted_fast" sources
build_src: building npy-pkg config files
running build_py
creating build
creating build\lib.win-amd64-3.5
creating build\lib.win-amd64-3.5\polylearn
copying polylearn\base.py -> build\lib.win-amd64-3.5\polylearn
copying polylearn\factorization_machine.py -> build\lib.win-amd64-3.5\polylearn
copying polylearn\kernels.py -> build\lib.win-amd64-3.5\polylearn
copying polylearn\loss.py -> build\lib.win-amd64-3.5\polylearn
copying polylearn\polynomial_network.py -> build\lib.win-amd64-3.5\polylearn
copying polylearn\setup.py -> build\lib.win-amd64-3.5\polylearn
copying polylearn_init_.py -> build\lib.win-amd64-3.5\polylearn
creating build\lib.win-amd64-3.5\polylearn\tests
copying polylearn\tests\test_cd_linear.py -> build\lib.win-amd64-3.5\polylearn\tests
copying polylearn\tests\test_common.py -> build\lib.win-amd64-3.5\polylearn\tests
copying polylearn\tests\test_factorization_machine.py -> build\lib.win-amd64-3.5\polylearn\tests
copying polylearn\tests\test_kernels.py -> build\lib.win-amd64-3.5\polylearn\tests
copying polylearn\tests\test_polynomial_network.py -> build\lib.win-amd64-3.5\polylearn\tests
copying polylearn\tests_init_.py -> build\lib.win-amd64-3.5\polylearn\tests
running build_ext
Warning: Assuming default configuration (polylearn\tests/{setup_tests,setup}.py was not found)Traceback (most recent call last):
File "setup.py", line 64, in
'Operating System :: MacOS'
File "C:\Users\cde3\Anaconda3\lib\site-packages\numpy\distutils\core.py", line 166, in setup
return old_setup(**new_attr)
File "C:\Users\cde3\Anaconda3\lib\distutils\core.py", line 148, in setup
dist.run_commands()
File "C:\Users\cde3\Anaconda3\lib\distutils\dist.py", line 955, in run_commands
self.run_command(cmd)
File "C:\Users\cde3\Anaconda3\lib\distutils\dist.py", line 974, in run_command
cmd_obj.run()
File "C:\Users\cde3\Anaconda3\lib\site-packages\numpy\distutils\command\build.py", line 47, in run
old_build.run(self)
File "C:\Users\cde3\Anaconda3\lib\distutils\command\build.py", line 135, in run
self.run_command(cmd_name)
File "C:\Users\cde3\Anaconda3\lib\distutils\cmd.py", line 313, in run_command
self.distribution.run_command(command)
File "C:\Users\cde3\Anaconda3\lib\distutils\dist.py", line 974, in run_command
cmd_obj.run()
File "C:\Users\cde3\Anaconda3\lib\site-packages\numpy\distutils\command\build_ext.py", line 117, in run
force=self.force)
File "C:\Users\cde3\Anaconda3\lib\site-packages\numpy\distutils\ccompiler.py", line 596, in new_compiler
compiler = klass(None, dry_run, force)
File "C:\Users\cde3\Anaconda3\lib\site-packages\numpy\distutils\mingw32ccompiler.py", line 58, in init
dry_run, force)
File "C:\Users\cde3\Anaconda3\lib\distutils\cygwinccompiler.py", line 157, in init
self.dll_libraries = get_msvcr()
File "C:\Users\cde3\Anaconda3\lib\distutils\cygwinccompiler.py", line 86, in get_msvcr
raise ValueError("Unknown MS Compiler version %s " % msc_ver)
ValueError: Unknown MS Compiler version 1900

e:\factirizatoin machine including FFM\code\polylearn_master_June6>python setup.py install
Appending polylearn.tests configuration to polylearn
Ignoring attempt to set 'name' (from 'polylearn' to 'polylearn.tests')
Appending polylearn configuration to
Ignoring attempt to set 'name' (from '' to 'polylearn')
running install
running bdist_egg
running egg_info
running build_src
build_src
building extension "polylearn.loss_fast" sources
building extension "polylearn.cd_direct_fast" sources
building extension "polylearn.cd_linear_fast" sources
building extension "polylearn.cd_lifted_fast" sources
build_src: building npy-pkg config files
creating polylearn.egg-info
writing dependency_links to polylearn.egg-info\dependency_links.txt
writing polylearn.egg-info\PKG-INFO
writing top-level names to polylearn.egg-info\top_level.txt
writing manifest file 'polylearn.egg-info\SOURCES.txt'
reading manifest file 'polylearn.egg-info\SOURCES.txt'
writing manifest file 'polylearn.egg-info\SOURCES.txt'
installing library code to build\bdist.win-amd64\egg
running install_lib
running build_py
running build_ext
Warning: Assuming default configuration (polylearn\tests/{setup_tests,setup}.py was not found)Traceback (most recent call last):
File "setup.py", line 64, in
'Operating System :: MacOS'
File "C:\Users\cde3\Anaconda3\lib\site-packages\numpy\distutils\core.py", line 166, in setup
return old_setup(**new_attr)
File "C:\Users\cde3\Anaconda3\lib\distutils\core.py", line 148, in setup
dist.run_commands()
File "C:\Users\cde3\Anaconda3\lib\distutils\dist.py", line 955, in run_commands
self.run_command(cmd)
File "C:\Users\cde3\Anaconda3\lib\distutils\dist.py", line 974, in run_command
cmd_obj.run()
File "C:\Users\cde3\Anaconda3\lib\site-packages\numpy\distutils\command\install.py", line 62, in run
r = self.setuptools_run()
File "C:\Users\cde3\Anaconda3\lib\site-packages\numpy\distutils\command\install.py", line 56, in setuptools_run
self.do_egg_install()
File "C:\Users\cde3\Anaconda3\lib\site-packages\setuptools-27.2.0-py3.5.egg\setuptools\command\install.py", line 109, in do_egg_install
File "C:\Users\cde3\Anaconda3\lib\distutils\cmd.py", line 313, in run_command
self.distribution.run_command(command)
File "C:\Users\cde3\Anaconda3\lib\distutils\dist.py", line 974, in run_command
cmd_obj.run()
File "C:\Users\cde3\Anaconda3\lib\site-packages\setuptools-27.2.0-py3.5.egg\setuptools\command\bdist_egg.py", line 161, in run
File "C:\Users\cde3\Anaconda3\lib\site-packages\setuptools-27.2.0-py3.5.egg\setuptools\command\bdist_egg.py", line 147, in call_command
File "C:\Users\cde3\Anaconda3\lib\distutils\cmd.py", line 313, in run_command
self.distribution.run_command(command)
File "C:\Users\cde3\Anaconda3\lib\distutils\dist.py", line 974, in run_command
cmd_obj.run()
File "C:\Users\cde3\Anaconda3\lib\site-packages\setuptools-27.2.0-py3.5.egg\setuptools\command\install_lib.py", line 11, in run
File "C:\Users\cde3\Anaconda3\lib\distutils\command\install_lib.py", line 107, in build
self.run_command('build_ext')
File "C:\Users\cde3\Anaconda3\lib\distutils\cmd.py", line 313, in run_command
self.distribution.run_command(command)
File "C:\Users\cde3\Anaconda3\lib\distutils\dist.py", line 974, in run_command
cmd_obj.run()
File "C:\Users\cde3\Anaconda3\lib\site-packages\numpy\distutils\command\build_ext.py", line 117, in run
force=self.force)
File "C:\Users\cde3\Anaconda3\lib\site-packages\numpy\distutils\ccompiler.py", line 596, in new_compiler
compiler = klass(None, dry_run, force)
File "C:\Users\cde3\Anaconda3\lib\site-packages\numpy\distutils\mingw32ccompiler.py", line 58, in init
dry_run, force)
File "C:\Users\cde3\Anaconda3\lib\distutils\cygwinccompiler.py", line 157, in init
self.dll_libraries = get_msvcr()
File "C:\Users\cde3\Anaconda3\lib\distutils\cygwinccompiler.py", line 86, in get_msvcr
raise ValueError("Unknown MS Compiler version %s " % msc_ver)
ValueError: Unknown MS Compiler version 1900

e:\factirizatoin machine including FFM\code\polylearn_master_June6>

Difficulty importing lightning correctly in polylearn

I followed the installation steps here, and after installed lightning-python 1.2.1. (pip install lightning-python.) However I'm getting this error

>>> import polylearn
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/local/lib/python2.7/site-packages/polylearn-0.1.dev0-py2.7-macosx-10.11-x86_64.egg/polylearn/__init__.py", line 1, in <module>
    from .factorization_machine import FactorizationMachineRegressor
  File "/usr/local/lib/python2.7/site-packages/polylearn-0.1.dev0-py2.7-macosx-10.11-x86_64.egg/polylearn/factorization_machine.py", line 22, in <module>
    from lightning.impl.dataset_fast import get_dataset
ImportError: No module named impl.dataset_fast

I'm using python 2.7.12 on OS X. It might be worth specifying which version of lightning to install.

Marginally related: #6

will it work for third order categorical features interaction

Great code, thanks !

Plese help to understand
1
will it work for third order categorical features interaction ?
2
will it run on Windows computer ?

3
will it work for sparse data ?

windows installation still fails

installed as directed but still get error
File "E:\Factirization_Machines\my_code\S_poly_learn_try_Aug7.py", line 3, in
import polylearn as pl
File "e:\Python environemnts\MYENVS\may9_sklearn0242\Lib\site-packages\polylearn-0.1.dev0-py3.8-win-amd64.egg\polylearn_init_.py", line 1, in
from .factorization_machine import FactorizationMachineRegressor
File "e:\Python environemnts\MYENVS\may9_sklearn0242\Lib\site-packages\polylearn-0.1.dev0-py3.8-win-amd64.egg\polylearn\factorization_machine.py", line 22, in
from lightning.impl.dataset_fast import get_dataset
File "e:\Python environemnts\MYENVS\may9_sklearn0242\Lib\site-packages\lightning\impl\dataset_fast.cp38-win_amd64.pyd", line 1, in init lightning.impl.dataset_fast

builtins.ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 from PyObject

(may9_sklearn0242) e:\Freelancer projects\Andrej python vowpalwabbit regression for big data files with FEARTURES INTERACTION\from\oct5>pip install sklearn-contrib-lightning
Requirement already satisfied: sklearn-contrib-lightning in e:\python environemnts\myenvs\may9_sklearn0242\lib\site-packages (0.6.1)
Requirement already satisfied: numpy in e:\python environemnts\myenvs\may9_sklearn0242\lib\site-packages (from sklearn-contrib-lightning) (1.19.5)
Requirement already satisfied: joblib in e:\python environemnts\myenvs\may9_sklearn0242\lib\site-packages (from sklearn-contrib-lightning) (1.0.1)
Requirement already satisfied: scikit-learn in e:\python environemnts\myenvs\may9_sklearn0242\lib\site-packages (from sklearn-contrib-lightning) (0.24.2)
Requirement already satisfied: scipy in e:\python environemnts\myenvs\may9_sklearn0242\lib\site-packages (from sklearn-contrib-lightning) (1.6.3)
Requirement already satisfied: threadpoolctl>=2.0.0 in e:\python environemnts\myenvs\may9_sklearn0242\lib\site-packages (from scikit-learn->sklearn-contrib-lightning) (2.1.0)
WARNING: You are using pip version 20.3.3; however, version 21.2.4 is available.
You should consider upgrading via the 'E:\Python environemnts\MYENVS\may9_sklearn0242\Scripts\python.exe -m pip install --upgrade pip' command.

(may9_sklearn0242) e:\Freelancer projects\Andrej python vowpalwabbit regression for big data files with FEARTURES INTERACTION\from\oct5>cd E:\Factirization_Machines\polylearn\instalaltoin_oct5\polylearn-master\polylearn-master

(may9_sklearn0242) E:\Factirization_Machines\polylearn\instalaltoin_oct5\polylearn-master\polylearn-master>python setup.py build
Warning: Assuming default configuration (polylearn\tests/{setup_tests,setup}.py was not found)
Appending polylearn.tests configuration to polylearn
Ignoring attempt to set 'name' (from 'polylearn' to 'polylearn.tests')
Appending polylearn configuration to
Ignoring attempt to set 'name' (from '' to 'polylearn')
running build
running config_cc
unifing config_cc, config, build_clib, build_ext, build commands --compiler options
running config_fc
unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
running build_src
build_src
building extension "polylearn.loss_fast" sources
building extension "polylearn.cd_direct_fast" sources
building extension "polylearn.cd_linear_fast" sources
building extension "polylearn.cd_lifted_fast" sources
build_src: building npy-pkg config files
running build_py
creating build
creating build\lib.win-amd64-3.8
creating build\lib.win-amd64-3.8\polylearn
copying polylearn\base.py -> build\lib.win-amd64-3.8\polylearn
copying polylearn\factorization_machine.py -> build\lib.win-amd64-3.8\polylearn
copying polylearn\kernels.py -> build\lib.win-amd64-3.8\polylearn
copying polylearn\loss.py -> build\lib.win-amd64-3.8\polylearn
copying polylearn\polynomial_network.py -> build\lib.win-amd64-3.8\polylearn
copying polylearn\setup.py -> build\lib.win-amd64-3.8\polylearn
copying polylearn_init_.py -> build\lib.win-amd64-3.8\polylearn
creating build\lib.win-amd64-3.8\polylearn\tests
copying polylearn\tests\test_cd_linear.py -> build\lib.win-amd64-3.8\polylearn\tests
copying polylearn\tests\test_common.py -> build\lib.win-amd64-3.8\polylearn\tests
copying polylearn\tests\test_factorization_machine.py -> build\lib.win-amd64-3.8\polylearn\tests
copying polylearn\tests\test_kernels.py -> build\lib.win-amd64-3.8\polylearn\tests
copying polylearn\tests\test_polynomial_network.py -> build\lib.win-amd64-3.8\polylearn\tests
copying polylearn\tests_init_.py -> build\lib.win-amd64-3.8\polylearn\tests
running build_ext
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
customize MSVCCompiler using build_ext
No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
Missing compiler_cxx fix for MSVCCompiler
customize MSVCCompiler using build_ext
building 'polylearn.loss_fast' extension
compiling C sources
creating build\temp.win-amd64-3.8\Release\polylearn
C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\bin\HostX86\x64\cl.exe /c /nologo /Ox /W3 /GL /DNDEBUG /MD -IE:\Python environemnts\MYENVS\may9_sklearn0242\lib\site-packages\numpy\core\include -IE:\Python environemnts\MYENVS\may9_sklearn0242\lib\site-packages\numpy\core\include -IE:\Python environemnts\MYENVS\may9_sklearn0242\include -Ic:\users\sndr\appdata\local\programs\python\python38\include -Ic:\users\sndr\appdata\local\programs\python\python38\include -IC:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\ATLMFC\include -IC:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\include -IC:\Program Files (x86)\Windows Kits\NETFXSDK\4.6.1\include\um -IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\ucrt -IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\shared -IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\um -IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\winrt -IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\cppwinrt /EHsc /Tppolylearn\loss_fast.cpp /Fobuild\temp.win-amd64-3.8\Release\polylearn\loss_fast.obj /Zm1000
C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\bin\HostX86\x64\link.exe /nologo /INCREMENTAL:NO /LTCG /DLL /MANIFEST:EMBED,ID=2 /MANIFESTUAC:NO /LIBPATH:E:\Python environemnts\MYENVS\may9_sklearn0242\libs /LIBPATH:c:\users\sndr\appdata\local\programs\python\python38\libs /LIBPATH:c:\users\sndr\appdata\local\programs\python\python38 /LIBPATH:E:\Python environemnts\MYENVS\may9_sklearn0242\PCbuild\amd64 /LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\ATLMFC\lib\x64 /LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\lib\x64 /LIBPATH:C:\Program Files (x86)\Windows Kits\NETFXSDK\4.6.1\lib\um\x64 /LIBPATH:C:\Program Files (x86)\Windows Kits\10\lib\10.0.17763.0\ucrt\x64 /LIBPATH:C:\Program Files (x86)\Windows Kits\10\lib\10.0.17763.0\um\x64 /EXPORT:PyInit_loss_fast build\temp.win-amd64-3.8\Release\polylearn\loss_fast.obj /OUT:build\lib.win-amd64-3.8\polylearn\loss_fast.cp38-win_amd64.pyd /IMPLIB:build\temp.win-amd64-3.8\Release\polylearn\loss_fast.cp38-win_amd64.lib
building 'polylearn.cd_direct_fast' extension
compiling C sources
C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\bin\HostX86\x64\cl.exe /c /nologo /Ox /W3 /GL /DNDEBUG /MD -IE:\Python environemnts\MYENVS\may9_sklearn0242\lib\site-packages\numpy\core\include -IE:\Python environemnts\MYENVS\may9_sklearn0242\lib\site-packages\numpy\core\include -IE:\Python environemnts\MYENVS\may9_sklearn0242\include -Ic:\users\sndr\appdata\local\programs\python\python38\include -Ic:\users\sndr\appdata\local\programs\python\python38\include -IC:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\ATLMFC\include -IC:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\include -IC:\Program Files (x86)\Windows Kits\NETFXSDK\4.6.1\include\um -IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\ucrt -IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\shared -IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\um -IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\winrt -IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\cppwinrt /EHsc /Tppolylearn\cd_direct_fast.cpp /Fobuild\temp.win-amd64-3.8\Release\polylearn\cd_direct_fast.obj /Zm1000
C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\bin\HostX86\x64\link.exe /nologo /INCREMENTAL:NO /LTCG /DLL /MANIFEST:EMBED,ID=2 /MANIFESTUAC:NO /LIBPATH:E:\Python environemnts\MYENVS\may9_sklearn0242\libs /LIBPATH:c:\users\sndr\appdata\local\programs\python\python38\libs /LIBPATH:c:\users\sndr\appdata\local\programs\python\python38 /LIBPATH:E:\Python environemnts\MYENVS\may9_sklearn0242\PCbuild\amd64 /LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\ATLMFC\lib\x64 /LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\lib\x64 /LIBPATH:C:\Program Files (x86)\Windows Kits\NETFXSDK\4.6.1\lib\um\x64 /LIBPATH:C:\Program Files (x86)\Windows Kits\10\lib\10.0.17763.0\ucrt\x64 /LIBPATH:C:\Program Files (x86)\Windows Kits\10\lib\10.0.17763.0\um\x64 /EXPORT:PyInit_cd_direct_fast build\temp.win-amd64-3.8\Release\polylearn\cd_direct_fast.obj /OUT:build\lib.win-amd64-3.8\polylearn\cd_direct_fast.cp38-win_amd64.pyd /IMPLIB:build\temp.win-amd64-3.8\Release\polylearn\cd_direct_fast.cp38-win_amd64.lib
building 'polylearn.cd_linear_fast' extension
compiling C sources
C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\bin\HostX86\x64\cl.exe /c /nologo /Ox /W3 /GL /DNDEBUG /MD -IE:\Python environemnts\MYENVS\may9_sklearn0242\lib\site-packages\numpy\core\include -IE:\Python environemnts\MYENVS\may9_sklearn0242\lib\site-packages\numpy\core\include -IE:\Python environemnts\MYENVS\may9_sklearn0242\include -Ic:\users\sndr\appdata\local\programs\python\python38\include -Ic:\users\sndr\appdata\local\programs\python\python38\include -IC:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\ATLMFC\include -IC:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\include -IC:\Program Files (x86)\Windows Kits\NETFXSDK\4.6.1\include\um -IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\ucrt -IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\shared -IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\um -IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\winrt -IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\cppwinrt /EHsc /Tppolylearn\cd_linear_fast.cpp /Fobuild\temp.win-amd64-3.8\Release\polylearn\cd_linear_fast.obj /Zm1000
C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\bin\HostX86\x64\link.exe /nologo /INCREMENTAL:NO /LTCG /DLL /MANIFEST:EMBED,ID=2 /MANIFESTUAC:NO /LIBPATH:E:\Python environemnts\MYENVS\may9_sklearn0242\libs /LIBPATH:c:\users\sndr\appdata\local\programs\python\python38\libs /LIBPATH:c:\users\sndr\appdata\local\programs\python\python38 /LIBPATH:E:\Python environemnts\MYENVS\may9_sklearn0242\PCbuild\amd64 /LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\ATLMFC\lib\x64 /LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\lib\x64 /LIBPATH:C:\Program Files (x86)\Windows Kits\NETFXSDK\4.6.1\lib\um\x64 /LIBPATH:C:\Program Files (x86)\Windows Kits\10\lib\10.0.17763.0\ucrt\x64 /LIBPATH:C:\Program Files (x86)\Windows Kits\10\lib\10.0.17763.0\um\x64 /EXPORT:PyInit_cd_linear_fast build\temp.win-amd64-3.8\Release\polylearn\cd_linear_fast.obj /OUT:build\lib.win-amd64-3.8\polylearn\cd_linear_fast.cp38-win_amd64.pyd /IMPLIB:build\temp.win-amd64-3.8\Release\polylearn\cd_linear_fast.cp38-win_amd64.lib
building 'polylearn.cd_lifted_fast' extension
compiling C sources
C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\bin\HostX86\x64\cl.exe /c /nologo /Ox /W3 /GL /DNDEBUG /MD -IE:\Python environemnts\MYENVS\may9_sklearn0242\lib\site-packages\numpy\core\include -IE:\Python environemnts\MYENVS\may9_sklearn0242\lib\site-packages\numpy\core\include -IE:\Python environemnts\MYENVS\may9_sklearn0242\include -Ic:\users\sndr\appdata\local\programs\python\python38\include -Ic:\users\sndr\appdata\local\programs\python\python38\include -IC:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\ATLMFC\include -IC:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\include -IC:\Program Files (x86)\Windows Kits\NETFXSDK\4.6.1\include\um -IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\ucrt -IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\shared -IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\um -IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\winrt -IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\cppwinrt /EHsc /Tppolylearn\cd_lifted_fast.cpp /Fobuild\temp.win-amd64-3.8\Release\polylearn\cd_lifted_fast.obj /Zm1000
C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\bin\HostX86\x64\link.exe /nologo /INCREMENTAL:NO /LTCG /DLL /MANIFEST:EMBED,ID=2 /MANIFESTUAC:NO /LIBPATH:E:\Python environemnts\MYENVS\may9_sklearn0242\libs /LIBPATH:c:\users\sndr\appdata\local\programs\python\python38\libs /LIBPATH:c:\users\sndr\appdata\local\programs\python\python38 /LIBPATH:E:\Python environemnts\MYENVS\may9_sklearn0242\PCbuild\amd64 /LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\ATLMFC\lib\x64 /LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\lib\x64 /LIBPATH:C:\Program Files (x86)\Windows Kits\NETFXSDK\4.6.1\lib\um\x64 /LIBPATH:C:\Program Files (x86)\Windows Kits\10\lib\10.0.17763.0\ucrt\x64 /LIBPATH:C:\Program Files (x86)\Windows Kits\10\lib\10.0.17763.0\um\x64 /EXPORT:PyInit_cd_lifted_fast build\temp.win-amd64-3.8\Release\polylearn\cd_lifted_fast.obj /OUT:build\lib.win-amd64-3.8\polylearn\cd_lifted_fast.cp38-win_amd64.pyd /IMPLIB:build\temp.win-amd64-3.8\Release\polylearn\cd_lifted_fast.cp38-win_amd64.lib

(may9_sklearn0242) E:\Factirization_Machines\polylearn\instalaltoin_oct5\polylearn-master\polylearn-master>python setup.py install
Warning: Assuming default configuration (polylearn\tests/{setup_tests,setup}.py was not found)
Appending polylearn.tests configuration to polylearn
Ignoring attempt to set 'name' (from 'polylearn' to 'polylearn.tests')
Appending polylearn configuration to
Ignoring attempt to set 'name' (from '' to 'polylearn')
running install
running bdist_egg
running egg_info
running build_src
build_src
building extension "polylearn.loss_fast" sources
building extension "polylearn.cd_direct_fast" sources
building extension "polylearn.cd_linear_fast" sources
building extension "polylearn.cd_lifted_fast" sources
build_src: building npy-pkg config files
creating polylearn.egg-info
writing polylearn.egg-info\PKG-INFO
writing dependency_links to polylearn.egg-info\dependency_links.txt
writing requirements to polylearn.egg-info\requires.txt
writing top-level names to polylearn.egg-info\top_level.txt
writing manifest file 'polylearn.egg-info\SOURCES.txt'
reading manifest file 'polylearn.egg-info\SOURCES.txt'
writing manifest file 'polylearn.egg-info\SOURCES.txt'
installing library code to build\bdist.win-amd64\egg
running install_lib
running build_py
running build_ext
No module named 'numpy.distutils.msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
customize MSVCCompiler using build_ext
No module named 'numpy.distutils.msvccompiler' in numpy.distutils; trying from distutils
customize MSVCCompiler
Missing compiler_cxx fix for MSVCCompiler
customize MSVCCompiler using build_ext
creating build\bdist.win-amd64
creating build\bdist.win-amd64\egg
creating build\bdist.win-amd64\egg\polylearn
copying build\lib.win-amd64-3.8\polylearn\base.py -> build\bdist.win-amd64\egg\polylearn
copying build\lib.win-amd64-3.8\polylearn\cd_direct_fast.cp38-win_amd64.pyd -> build\bdist.win-amd64\egg\polylearn
copying build\lib.win-amd64-3.8\polylearn\cd_lifted_fast.cp38-win_amd64.pyd -> build\bdist.win-amd64\egg\polylearn
copying build\lib.win-amd64-3.8\polylearn\cd_linear_fast.cp38-win_amd64.pyd -> build\bdist.win-amd64\egg\polylearn
copying build\lib.win-amd64-3.8\polylearn\factorization_machine.py -> build\bdist.win-amd64\egg\polylearn
copying build\lib.win-amd64-3.8\polylearn\kernels.py -> build\bdist.win-amd64\egg\polylearn
copying build\lib.win-amd64-3.8\polylearn\loss.py -> build\bdist.win-amd64\egg\polylearn
copying build\lib.win-amd64-3.8\polylearn\loss_fast.cp38-win_amd64.pyd -> build\bdist.win-amd64\egg\polylearn
copying build\lib.win-amd64-3.8\polylearn\polynomial_network.py -> build\bdist.win-amd64\egg\polylearn
copying build\lib.win-amd64-3.8\polylearn\setup.py -> build\bdist.win-amd64\egg\polylearn
creating build\bdist.win-amd64\egg\polylearn\tests
copying build\lib.win-amd64-3.8\polylearn\tests\test_cd_linear.py -> build\bdist.win-amd64\egg\polylearn\tests
copying build\lib.win-amd64-3.8\polylearn\tests\test_common.py -> build\bdist.win-amd64\egg\polylearn\tests
copying build\lib.win-amd64-3.8\polylearn\tests\test_factorization_machine.py -> build\bdist.win-amd64\egg\polylearn\tests
copying build\lib.win-amd64-3.8\polylearn\tests\test_kernels.py -> build\bdist.win-amd64\egg\polylearn\tests
copying build\lib.win-amd64-3.8\polylearn\tests\test_polynomial_network.py -> build\bdist.win-amd64\egg\polylearn\tests
copying build\lib.win-amd64-3.8\polylearn\tests_init.py -> build\bdist.win-amd64\egg\polylearn\tests
copying build\lib.win-amd64-3.8\polylearn_init.py -> build\bdist.win-amd64\egg\polylearn
byte-compiling build\bdist.win-amd64\egg\polylearn\base.py to base.cpython-38.pyc
byte-compiling build\bdist.win-amd64\egg\polylearn\factorization_machine.py to factorization_machine.cpython-38.pyc
byte-compiling build\bdist.win-amd64\egg\polylearn\kernels.py to kernels.cpython-38.pyc
byte-compiling build\bdist.win-amd64\egg\polylearn\loss.py to loss.cpython-38.pyc
byte-compiling build\bdist.win-amd64\egg\polylearn\polynomial_network.py to polynomial_network.cpython-38.pyc
byte-compiling build\bdist.win-amd64\egg\polylearn\setup.py to setup.cpython-38.pyc
byte-compiling build\bdist.win-amd64\egg\polylearn\tests\test_cd_linear.py to test_cd_linear.cpython-38.pyc
byte-compiling build\bdist.win-amd64\egg\polylearn\tests\test_common.py to test_common.cpython-38.pyc
byte-compiling build\bdist.win-amd64\egg\polylearn\tests\test_factorization_machine.py to test_factorization_machine.cpython-38.pyc
byte-compiling build\bdist.win-amd64\egg\polylearn\tests\test_kernels.py to test_kernels.cpython-38.pyc
byte-compiling build\bdist.win-amd64\egg\polylearn\tests\test_polynomial_network.py to test_polynomial_network.cpython-38.pyc
byte-compiling build\bdist.win-amd64\egg\polylearn\tests_init_.py to init.cpython-38.pyc
byte-compiling build\bdist.win-amd64\egg\polylearn_init_.py to init.cpython-38.pyc
creating stub loader for polylearn\loss_fast.cp38-win_amd64.pyd
creating stub loader for polylearn\cd_direct_fast.cp38-win_amd64.pyd
creating stub loader for polylearn\cd_linear_fast.cp38-win_amd64.pyd
creating stub loader for polylearn\cd_lifted_fast.cp38-win_amd64.pyd
byte-compiling build\bdist.win-amd64\egg\polylearn\loss_fast.py to loss_fast.cpython-38.pyc
byte-compiling build\bdist.win-amd64\egg\polylearn\cd_direct_fast.py to cd_direct_fast.cpython-38.pyc
byte-compiling build\bdist.win-amd64\egg\polylearn\cd_linear_fast.py to cd_linear_fast.cpython-38.pyc
byte-compiling build\bdist.win-amd64\egg\polylearn\cd_lifted_fast.py to cd_lifted_fast.cpython-38.pyc
creating build\bdist.win-amd64\egg\EGG-INFO
copying polylearn.egg-info\PKG-INFO -> build\bdist.win-amd64\egg\EGG-INFO
copying polylearn.egg-info\SOURCES.txt -> build\bdist.win-amd64\egg\EGG-INFO
copying polylearn.egg-info\dependency_links.txt -> build\bdist.win-amd64\egg\EGG-INFO
copying polylearn.egg-info\not-zip-safe -> build\bdist.win-amd64\egg\EGG-INFO
copying polylearn.egg-info\requires.txt -> build\bdist.win-amd64\egg\EGG-INFO
copying polylearn.egg-info\top_level.txt -> build\bdist.win-amd64\egg\EGG-INFO
writing build\bdist.win-amd64\egg\EGG-INFO\native_libs.txt
creating dist
creating 'dist\polylearn-0.1.dev0-py3.8-win-amd64.egg' and adding 'build\bdist.win-amd64\egg' to it
removing 'build\bdist.win-amd64\egg' (and everything under it)
Processing polylearn-0.1.dev0-py3.8-win-amd64.egg
creating e:\python environemnts\myenvs\may9_sklearn0242\lib\site-packages\polylearn-0.1.dev0-py3.8-win-amd64.egg
Extracting polylearn-0.1.dev0-py3.8-win-amd64.egg to e:\python environemnts\myenvs\may9_sklearn0242\lib\site-packages
Adding polylearn 0.1.dev0 to easy-install.pth file

Installed e:\python environemnts\myenvs\may9_sklearn0242\lib\site-packages\polylearn-0.1.dev0-py3.8-win-amd64.egg
Processing dependencies for polylearn==0.1.dev0
Searching for scikit-learn==0.24.2
Best match: scikit-learn 0.24.2
Adding scikit-learn 0.24.2 to easy-install.pth file

Using e:\python environemnts\myenvs\may9_sklearn0242\lib\site-packages
Searching for six==1.15.0
Best match: six 1.15.0
Adding six 1.15.0 to easy-install.pth file

Using e:\python environemnts\myenvs\may9_sklearn0242\lib\site-packages
Searching for scipy==1.6.3
Best match: scipy 1.6.3
Adding scipy 1.6.3 to easy-install.pth file

Using e:\python environemnts\myenvs\may9_sklearn0242\lib\site-packages
Searching for numpy==1.19.5
Best match: numpy 1.19.5
Adding numpy 1.19.5 to easy-install.pth file
Installing f2py-script.py script to E:\Python environemnts\MYENVS\may9_sklearn0242\Scripts
Installing f2py.exe script to E:\Python environemnts\MYENVS\may9_sklearn0242\Scripts

Using e:\python environemnts\myenvs\may9_sklearn0242\lib\site-packages
Searching for joblib==1.0.1
Best match: joblib 1.0.1
Adding joblib 1.0.1 to easy-install.pth file

Using e:\python environemnts\myenvs\may9_sklearn0242\lib\site-packages
Searching for threadpoolctl==2.1.0
Best match: threadpoolctl 2.1.0
Adding threadpoolctl 2.1.0 to easy-install.pth file

Using e:\python environemnts\myenvs\may9_sklearn0242\lib\site-packages
Finished processing dependencies for polylearn==0.1.dev0

is not working conda install -c conda-forge sklearn-contrib-ligh tning

I installed successfully on Windows computer
by using conda
but still have error
polylearn_master_Jan21_2018\polylearn\tests\test_factorization_machine.py", line 14, in
from polylearn.kernels import _poly_predict

ImportError: No module named polylearn.kernels

D:\Factorisatoin_Machines\code>conda install -c conda-forge sklearn-contrib-ligh
tning
Fetching package metadata .............
Solving package specifications: .

Package plan for installation in environment C:\Users\SanderOct27\Anaconda2:

The following NEW packages will be INSTALLED:

ca-certificates:           2017.11.5-0       conda-forge
sklearn-contrib-lightning: 0.4.0-np112py27_1 conda-forge
vc:                        9-0               conda-forge

The following packages will be UPDATED:

conda:                     4.3.22-py27_0                 --> 4.3.32-py27_0 c

onda-forge
openssl: 1.0.2j-vc9_0 --> 1.0.2n-vc9_0 c
onda-forge [vc9]

The following packages will be SUPERSEDED by a higher-priority channel:

conda-env:                 2.6.0-0                       --> 2.6.0-0       c

onda-forge

Proceed ([y]/n)? y

ca-certificate 100% |###############################| Time: 0:00:00 851.73 kB/s
conda-env-2.6. 100% |###############################| Time: 0:00:00 64.56 kB/s
openssl-1.0.2n 100% |###############################| Time: 0:00:05 838.18 kB/s
vc-9-0.tar.bz2 100% |###############################| Time: 0:00:00 51.50 kB/s
sklearn-contri 100% |###############################| Time: 0:00:00 1.35 MB/s
conda-4.3.32-p 100% |###############################| Time: 0:00:00 1.32 MB/s

D:\Factorisatoin_Machines\code>

Installed using pip but still not available

Greetings!

I've installed this package using pip3. It is listed in the installed packages but, when I try to import it polylearn, I get ModuleNotFoundError: No module named 'polylearn'

Non negativity constraints

I'd like to apply the PolynomialNetworkRegressor to a domain in which the predicted values are constrained to be non negative. Does polylearn support non negativity constraints?

Learning intercepts?

First, thanks for the hard work on this package. It looks like a great way to get higher-order interactions to potentially improve on the standard FM models/packages.

It looks like the constant offsets/intercepts are not learned. Is this a to-do item, or is it something that's easy to fix by, for example, doing a global demean of the training outputs y_train in the case of regression? What about classification? Does it matter at all in that case?

No module named 'polylearn'

I read all issues but i stil have problem
python setup.py build
python setup.py install
pip install numpy scipy scikit-learn nose
pip install sklearn-contrib-lightning
SyntaxError: invalid syntax

import polylearn as pl
ModuleNotFoundError: No module named 'polylearn'

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