fancyimpute 在 python 中，实现了多元插值和矩阵完成算法.zip

fancyimpute, 在 python 中，实现了多元插值和矩阵完成算法 fancyimputepython 中实现的多种矩阵完成和插补算法。用法from fancyimpute import BiScaler, KNN, NuclearNormMinimization, SoftIm

# Licensed under the Apache License Version 2.0 （the “License“）;
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing software
# distributed under the License is distributed on an “AS IS“ BASIS
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import os
import logging
import re

from setuptools import setup

package_name = “fancyimpute“


readme_dir = os.path.dirname（__file__）
readme_filename = os.path.join（readme_dir ‘README.md‘）

try:
    with open（readme_filename ‘r‘） as f:
        readme_markdown = f.read（）
except:
    logging.warn（“Failed to load %s“ % readme_filename）
    readme_markdown = ““

with open（‘%s/__init__.py‘ % package_name ‘r‘） as f:
    version = re.search（
        r‘^__version__\s*=\s*[\‘“]（[^\‘“]*）[\‘“]‘
        f.read（）
        re.MULTILINE）.group（1）

if __name__ == ‘__main__‘:
    setup（
        name=package_name
        version=version
        description=“Matrix completion and feature imputation algorithms“
        author=“Alex Rubinsteyn Sergey Feldman“
        author_email=“alex.rubinsteyn@gmail.com“
        url=“https://github.com/iskandr/%s“ % package_name
        license=“http://www.apache.org/licenses/LICENSE-2.0.html“
        classifiers=[
            ‘Development Status :: 4 - Beta‘
            ‘Environment :: Console‘
            ‘Operating System :: OS Independent‘
            ‘Intended Audience :: Science/Research‘
            ‘License :: OSI Approved :: Apache Software License‘
            ‘Programming Language :: Python‘
            ‘Topic :: Scientific/Engineering :: Bio-Informatics‘
        ]
        install_requires=[
            ‘knnimpute‘
            # need at least 1.10 for np.multi_dot
            ‘numpy>=1.10‘
            ‘scipy‘
            # used by NuclearNormMinimization
            ‘cvxpy>=1.0.6‘
            ‘scikit-learn>=0.21.2‘
            # used by MatrixFactorization
            ‘keras>=2.0.0‘
            ‘tensorflow‘
        ]
        long_description=readme_markdown
        long_description_content_type=‘text/markdown‘
        packages=[package_name]
    ）

 属性            大小     日期    时间   名称
----------- ---------  ---------- -----  ----
     目录           0  2019-09-28 17:32  fancyimpute-master\
     文件         702  2019-09-28 17:32  fancyimpute-master\.gitignore
     文件        2315  2019-09-28 17:32  fancyimpute-master\.travis.yml
     文件       11358  2019-09-28 17:32  fancyimpute-master\LICENSE
     文件        4416  2019-09-28 17:32  fancyimpute-master\README.md
     目录           0  2019-09-28 17:32  fancyimpute-master\experiments\
     文件       10454  2019-09-28 17:32  fancyimpute-master\experiments\complete_faces.py
     文件        2321  2019-09-28 17:32  fancyimpute-master\experiments\readme_example.py
     目录           0  2019-09-28 17:32  fancyimpute-master\fancyimpute\
     文件         865  2019-09-28 17:32  fancyimpute-master\fancyimpute\__init__.py
     文件        3268  2019-09-28 17:32  fancyimpute-master\fancyimpute\common.py
     文件        9665  2019-09-28 17:32  fancyimpute-master\fancyimpute\dictionary_helpers.py
     文件        3371  2019-09-28 17:32  fancyimpute-master\fancyimpute\iterative_svd.py
     文件        3168  2019-09-28 17:32  fancyimpute-master\fancyimpute\keras_models.py
     文件        3824  2019-09-28 17:32  fancyimpute-master\fancyimpute\knn.py
     文件        4225  2019-09-28 17:32  fancyimpute-master\fancyimpute\matrix_factorization.py
     文件        3996  2019-09-28 17:32  fancyimpute-master\fancyimpute\nuclear_norm_minimization.py
     文件       14126  2019-09-28 17:32  fancyimpute-master\fancyimpute\scaler.py
     文件        6704  2019-09-28 17:32  fancyimpute-master\fancyimpute\similarity_weighted_averaging.py
     文件        1292  2019-09-28 17:32  fancyimpute-master\fancyimpute\simple_fill.py
     文件        6530  2019-09-28 17:32  fancyimpute-master\fancyimpute\soft_impute.py
     文件        7938  2019-09-28 17:32  fancyimpute-master\fancyimpute\solver.py
     文件          75  2019-09-28 17:32  fancyimpute-master\requirements.txt
     文件        2383  2019-09-28 17:32  fancyimpute-master\setup.py
     目录           0  2019-09-28 17:32  fancyimpute-master\test\
     文件         863  2019-09-28 17:32  fancyimpute-master\test\common.py
     文件         843  2019-09-28 17:32  fancyimpute-master\test\low_rank_data.py
     文件        2618  2019-09-28 17:32  fancyimpute-master\test\test_dictionary_helpers.py
     文件         537  2019-09-28 17:32  fancyimpute-master\test\test_iterative_svd.py
     文件        1035  2019-09-28 17:32  fancyimpute-master\test\test_knn.py
     文件         662  2019-09-28 17:32  fancyimpute-master\test\test_matrix_factorization.py
............此处省略4个文件信息