資源簡介
fancyimpute, 在 python 中,實現了多元插值和矩陣完成算法 fancyimputepython 中實現的多種矩陣完成和插補算法。用法from fancyimpute import BiScaler, KNN, NuclearNormMinimization, SoftIm

代碼片段和文件信息
#?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]
????)
?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????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
?????目錄???????????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
?????目錄???????????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
?????目錄???????????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
............此處省略4個文件信息
評論
共有 條評論