diff --git a/README.rst b/README.rst index 84dedb9f..1bce3d79 100644 --- a/README.rst +++ b/README.rst @@ -49,17 +49,15 @@ To build the documentation you will need to run: Demos & Examples ================ -You find on the documentation examples on the `Leukemia -dataset `__ -(comparison with scikit-learn) and on the `Finance/log1p -dataset `__ -(more significant, but it takes times to download the data, preprocess -it, and compute the path). +In the `example section `__ of the documentation, +you will find numerous examples on real life datasets, +timing comparison with other estimators, easy and fast ways to perform cross validation, etc. + Dependencies ============ -All dependencies are in ``./setup.py`` file. +All dependencies are in the ``./requirements.txt`` file. Cite ==== diff --git a/celer/__init__.py b/celer/__init__.py index 9fe39ee9..1277daf6 100644 --- a/celer/__init__.py +++ b/celer/__init__.py @@ -5,4 +5,4 @@ GroupLassoCV, MultiTaskLasso, MultiTaskLassoCV) -__version__ = '0.6dev' +__version__ = '0.5.1' diff --git a/setup.py b/setup.py index dbc5378a..08060174 100644 --- a/setup.py +++ b/setup.py @@ -1,12 +1,10 @@ from setuptools.command.build_ext import build_ext -from setuptools import setup, Extension +from setuptools import dist, setup, Extension, find_packages import os -from setuptools import dist dist.Distribution().fetch_build_eggs(['numpy>=1.12']) -import numpy as np +import numpy as np # noqa - -descr = 'Fast algorithm with dual extrapolation for the Lasso' +descr = 'Fast algorithm with dual extrapolation for sparse problems' version = None with open(os.path.join('celer', '__init__.py'), 'r') as fid: @@ -38,7 +36,7 @@ install_requires=['numpy>=1.12', 'seaborn>=0.7', 'scipy>=0.18.0', 'matplotlib>=2.0.0', 'Cython>=0.26', 'scikit-learn>=0.23', 'xarray', 'download', 'tqdm'], - packages=['celer'], + packages=find_packages(), cmdclass={'build_ext': build_ext}, ext_modules=[ Extension('celer.lasso_fast',