0
私は、この特定のPythonライブラリを参照しています：pyAFライブラリとしてPython 3.5を実行している別の環境とAnaconda3-4.4.0のhttps://github.com/antoinecarme/pyafpython.exe - エントリポイントが見つかりません（mkl_dnn_BatchNormalizationCreateBackward_v2_F32）
私のマシン含みをPython 3.5が必要です。
私は、次のコマンドに基づいて上記のGithubページ、上の推奨オプション 使用して私のラップトップ上でこのライブラリをインストールしている：上記を実行するには
pip install scipy pandas sklearn matplotlib pydot dill pathos sqlalchemy
pip install --upgrade git+git://github.com/antoinecarme/pyaf.git
を、私は私のGitHubのbash上で環境を変えますPythonの3.5上でそれを実行して、私は次のインストールの結果を観察：
**[email protected] MINGW64 ~**
$ source activate python35
(python35)
**[email protected] MINGW64 ~**
$ pip install scipy pandas sklearn matplotlib pydot dill pathos sqlalchemy
Requirement already satisfied: scipy in c:\toolkits\anaconda3-4.4.0\envs\python3 5\lib\site-packages
Requirement already satisfied: pandas in c:\toolkits\anaconda3-4.4.0\envs\python 35\lib\site-packages
Requirement already satisfied: sklearn in c:\toolkits\anaconda3-4.4.0\envs\pytho n35\lib\site-packages
Requirement already satisfied: matplotlib in c:\toolkits\anaconda3-4.4.0\envs\py thon35\lib\site-packages
Requirement already satisfied: pydot in c:\toolkits\anaconda3-4.4.0\envs\python3 5\lib\site-packages
Requirement already satisfied: dill in c:\toolkits\anaconda3-4.4.0\envs\python35 \lib\site-packages
Requirement already satisfied: pathos in c:\toolkits\anaconda3-4.4.0\envs\python 35\lib\site-packages
Requirement already satisfied: sqlalchemy in c:\toolkits\anaconda3-4.4.0\envs\py thon35\lib\site-packages
Requirement already satisfied: numpy>=1.8.2 in c:\toolkits\anaconda3-4.4.0\envs\ python35\lib\site-packages (from scipy)
Requirement already satisfied: python-dateutil>=2 in c:\toolkits\anaconda3-4.4.0 \envs\python35\lib\site-packages (from pandas)
Requirement already satisfied: pytz>=2011k in c:\toolkits\anaconda3-4.4.0\envs\p ython35\lib\site-packages (from pandas)
Requirement already satisfied: scikit-learn in c:\toolkits\anaconda3-4.4.0\envs\ python35\lib\site-packages (from sklearn)
Requirement already satisfied: six>=1.10 in c:\toolkits\anaconda3-4.4.0\envs\pyt hon35\lib\site-packages (from matplotlib)
Requirement already satisfied: cycler>=0.10 in c:\toolkits\anaconda3-4.4.0\envs\ python35\lib\site-packages (from matplotlib)
Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=1.5.6 in c:\to olkits\anaconda3-4.4.0\envs\python35\lib\site-packages (from matplotlib)
Requirement already satisfied: pyreadline>=1.7.1 in c:\toolkits\anaconda3-4.4.0\ envs\python35\lib\site-packages (from dill)
Requirement already satisfied: pox>=0.2.3 in c:\toolkits\anaconda3-4.4.0\envs\py thon35\lib\site-packages (from pathos)
Requirement already satisfied: ppft>=1.6.4.7 in c:\toolkits\anaconda3-4.4.0\envs \python35\lib\site-packages (from pathos)
Requirement already satisfied: multiprocess>=0.70.5 in c:\toolkits\anaconda3-4.4 .0\envs\python35\lib\site-packages (from pathos)
(python35)
**[email protected] MINGW64 ~**
$ pip install --upgrade git+git://github.com/antoinecarme/pyaf.git
Collecting git+git://github.com/antoinecarme/pyaf.git
Cloning git://github.com/antoinecarme/pyaf.git to c:\users\dines\appdata\local\temp\pip-_upr_c25-build
Requirement already up-to-date: scipy in c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages (from pyaf==1.0)
Collecting pandas (from pyaf==1.0)
Using cached pandas-0.20.3-cp35-cp35m-win_amd64.whl
Requirement already up-to-date: sklearn in c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages (from pyaf==1.0)
Requirement already up-to-date: matplotlib in c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages (from pyaf==1.0)
Requirement already up-to-date: pydot in c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages (from pyaf==1.0)
Requirement already up-to-date: dill in c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages (from pyaf==1.0)
Requirement already up-to-date: pathos in c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages (from pyaf==1.0)
Collecting sqlalchemy (from pyaf==1.0)
Requirement already up-to-date: numpy>=1.8.2 in c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages (from scipy->pyaf==1.0)
Collecting python-dateutil>=2 (from pandas->pyaf==1.0)
Using cached python_dateutil-2.6.1-py2.py3-none-any.whl
Requirement already up-to-date: pytz>=2011k in c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages (from pandas->pyaf==1.0)
Collecting scikit-learn (from sklearn->pyaf==1.0)
Using cached scikit_learn-0.19.0-cp35-cp35m-win_amd64.whl
Requirement already up-to-date: six>=1.10 in c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages (from matplotlib->pyaf==1.0)
Requirement already up-to-date: cycler>=0.10 in c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages (from matplotlib->pyaf==1.0)
Collecting pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=1.5.6 (from matplotlib->pyaf==1.0)
Using cached pyparsing-2.2.0-py2.py3-none-any.whl
Requirement already up-to-date: pyreadline>=1.7.1 in c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages (from dill->pyaf==1.0)
Requirement already up-to-date: ppft>=1.6.4.7 in c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages (from pathos->pyaf==1.0)
Requirement already up-to-date: pox>=0.2.3 in c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages (from pathos->pyaf==1.0)
Requirement already up-to-date: multiprocess>=0.70.5 in c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages (from pathos->pyaf==1.0)
Installing collected packages: python-dateutil, pandas, sqlalchemy, pyaf, scikit-learn, pyparsing
Found existing installation: python-dateutil 2.6.0
Uninstalling python-dateutil-2.6.0:
Successfully uninstalled python-dateutil-2.6.0
Found existing installation: pandas 0.20.1
Uninstalling pandas-0.20.1:
Successfully uninstalled pandas-0.20.1
Found existing installation: SQLAlchemy 1.1.9
Uninstalling SQLAlchemy-1.1.9:
Successfully uninstalled SQLAlchemy-1.1.9
Found existing installation: pyaf 1.0
Uninstalling pyaf-1.0:
Successfully uninstalled pyaf-1.0
Running setup.py install for pyaf: started
Running setup.py install for pyaf: finished with status 'done'
Found existing installation: scikit-learn 0.18.1
DEPRECATION: Uninstalling a distutils installed project (scikit-learn) has been deprecated and will be removed in a future version. This is due to the fact that uninstalling a distutils project will only partially uninstall the project.
Uninstalling scikit-learn-0.18.1:
Successfully uninstalled scikit-learn-0.18.1
Found existing installation: pyparsing 2.1.4
Uninstalling pyparsing-2.1.4:
Successfully uninstalled pyparsing-2.1.4
Successfully installed pandas-0.20.3 pyaf-1.0 pyparsing-2.2.0 python-dateutil-2.6.1 scikit-learn-0.19.0 sqlalchemy-1.1.13
Traceback (most recent call last):
File "C:\Toolkits\anaconda3-4.4.0\envs\python35\Scripts\pip-script.py", line 5, in <module>
sys.exit(pip.main())
File "C:\Toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages\pip\__init__.py", line 249, in main
return command.main(cmd_args)
File "C:\Toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages\pip\basecommand.py", line 252, in main
pip_version_check(session)
File "C:\Toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages\pip\utils\outdated.py", line 102, in pip_version_check
installed_version = get_installed_version("pip")
File "C:\Toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages\pip\utils\__init__.py", line 838, in get_installed_version
working_set = pkg_resources.WorkingSet()
File "C:\Toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages\pip\_vendor\pkg_resources\__init__.py", line 644, in __init__
self.add_entry(entry)
File "C:\Toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages\pip\_vendor\pkg_resources\__init__.py", line 700, in add_entry
for dist in find_distributions(entry, True):
File "C:\Toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages\pip\_vendor\pkg_resources\__init__.py", line 1949, in find_eggs_in_zip
if metadata.has_metadata('PKG-INFO'):
File "C:\Toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages\pip\_vendor\pkg_resources\__init__.py", line 1463, in has_metadata
return self.egg_info and self._has(self._fn(self.egg_info, name))
File "C:\Toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages\pip\_vendor\pkg_resources\__init__.py", line 1823, in _has
return zip_path in self.zipinfo or zip_path in self._index()
File "C:\Toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages\pip\_vendor\pkg_resources\__init__.py", line 1703, in zipinfo
return self._zip_manifests.load(self.loader.archive)
File "C:\Toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages\pip\_vendor\pkg_resources\__init__.py", line 1643, in load
mtime = os.stat(path).st_mtime
FileNotFoundError: [WinError 2] The system cannot find the file specified: 'C:\\Toolkits\\anaconda3-4.4.0\\envs\\python35\\lib\\site-packages\\pyaf-1.0-py3.5.egg'
(python35)
この最初の方法では、私は、出力の最後にエラーがあることがわかります。したがって、私は自分のデスクトップ上のGithubから全体pyAFパッケージをダウンロードして、次のようにライブラリをインストールしようとしました：
**(python35) C:\Users\dines\Desktop>** cd pyaf-master
**(python35) C:\Users\dines\Desktop\pyaf-master>** python setup.py install
running install
running bdist_egg
running egg_info
writing pyaf.egg-info\PKG-INFO
writing dependency_links to pyaf.egg-info\dependency_links.txt
writing requirements to pyaf.egg-info\requires.txt
writing top-level names to pyaf.egg-info\top_level.txt
package init file 'pyaf\__init__.py' not found (or not a regular file)
package init file 'pyaf\TS\__init__.py' not found (or not a regular file)
package init file 'pyaf\CodeGen\__init__.py' not found (or not a regular file)
package init file 'pyaf\Bench\__init__.py' not found (or not a regular file)
reading manifest file 'pyaf.egg-info\SOURCES.txt'
writing manifest file 'pyaf.egg-info\SOURCES.txt'
installing library code to build\bdist.win-amd64\egg
running install_lib
running build_py
copying pyaf\ForecastEngine.py -> build\lib\pyaf
copying pyaf\HierarchicalForecastEngine.py -> build\lib\pyaf
copying pyaf\TS\Exogenous.py -> build\lib\pyaf\TS
copying pyaf\TS\Keras_Models.py -> build\lib\pyaf\TS
copying pyaf\TS\Options.py -> build\lib\pyaf\TS
copying pyaf\TS\Perf.py -> build\lib\pyaf\TS
copying pyaf\TS\Plots.py -> build\lib\pyaf\TS
copying pyaf\TS\PredictionIntervals.py -> build\lib\pyaf\TS
copying pyaf\TS\Scikit_Models.py -> build\lib\pyaf\TS
copying pyaf\TS\SignalDecomposition.py -> build\lib\pyaf\TS
copying pyaf\TS\SignalDecomposition_AR.py -> build\lib\pyaf\TS
copying pyaf\TS\SignalDecomposition_Cycle.py -> build\lib\pyaf\TS
copying pyaf\TS\SignalDecomposition_Quant.py -> build\lib\pyaf\TS
copying pyaf\TS\SignalDecomposition_Trend.py -> build\lib\pyaf\TS
copying pyaf\TS\SignalHierarchy.py -> build\lib\pyaf\TS
copying pyaf\TS\Signal_Grouping.py -> build\lib\pyaf\TS
copying pyaf\TS\Signal_Transformation.py -> build\lib\pyaf\TS
copying pyaf\TS\Time.py -> build\lib\pyaf\TS
copying pyaf\TS\TimeSeriesModel.py -> build\lib\pyaf\TS
copying pyaf\TS\Utils.py -> build\lib\pyaf\TS
copying pyaf\CodeGen\TS_CodeGenerator.py -> build\lib\pyaf\CodeGen
copying pyaf\CodeGen\TS_CodeGen_Objects.py -> build\lib\pyaf\CodeGen
copying pyaf\Bench\Artificial.py -> build\lib\pyaf\Bench
copying pyaf\Bench\download_all_stock_prices.py -> build\lib\pyaf\Bench
copying pyaf\Bench\GenericBenchmark.py -> build\lib\pyaf\Bench
copying pyaf\Bench\MComp.py -> build\lib\pyaf\Bench
copying pyaf\Bench\NN3.py -> build\lib\pyaf\Bench
copying pyaf\Bench\stocks_symbol_list.py -> build\lib\pyaf\Bench
copying pyaf\Bench\TS_datasets.py -> build\lib\pyaf\Bench
copying pyaf\Bench\YahooStocks.py -> build\lib\pyaf\Bench
creating build\bdist.win-amd64\egg
creating build\bdist.win-amd64\egg\pyaf
creating build\bdist.win-amd64\egg\pyaf\Bench
copying build\lib\pyaf\Bench\Artificial.py -> build\bdist.win-amd64\egg\pyaf\Bench
copying build\lib\pyaf\Bench\download_all_stock_prices.py -> build\bdist.win-amd64\egg\pyaf\Bench
copying build\lib\pyaf\Bench\GenericBenchmark.py -> build\bdist.win-amd64\egg\pyaf\Bench
copying build\lib\pyaf\Bench\MComp.py -> build\bdist.win-amd64\egg\pyaf\Bench
copying build\lib\pyaf\Bench\NN3.py -> build\bdist.win-amd64\egg\pyaf\Bench
copying build\lib\pyaf\Bench\stocks_symbol_list.py -> build\bdist.win-amd64\egg\pyaf\Bench
copying build\lib\pyaf\Bench\TS_datasets.py -> build\bdist.win-amd64\egg\pyaf\Bench
copying build\lib\pyaf\Bench\YahooStocks.py -> build\bdist.win-amd64\egg\pyaf\Bench
creating build\bdist.win-amd64\egg\pyaf\CodeGen
copying build\lib\pyaf\CodeGen\TS_CodeGenerator.py -> build\bdist.win-amd64\egg\pyaf\CodeGen
copying build\lib\pyaf\CodeGen\TS_CodeGen_Objects.py -> build\bdist.win-amd64\egg\pyaf\CodeGen
copying build\lib\pyaf\ForecastEngine.py -> build\bdist.win-amd64\egg\pyaf
copying build\lib\pyaf\HierarchicalForecastEngine.py -> build\bdist.win-amd64\egg\pyaf
creating build\bdist.win-amd64\egg\pyaf\TS
copying build\lib\pyaf\TS\Exogenous.py -> build\bdist.win-amd64\egg\pyaf\TS
copying build\lib\pyaf\TS\Keras_Models.py -> build\bdist.win-amd64\egg\pyaf\TS
copying build\lib\pyaf\TS\Options.py -> build\bdist.win-amd64\egg\pyaf\TS
copying build\lib\pyaf\TS\Perf.py -> build\bdist.win-amd64\egg\pyaf\TS
copying build\lib\pyaf\TS\Plots.py -> build\bdist.win-amd64\egg\pyaf\TS
copying build\lib\pyaf\TS\PredictionIntervals.py -> build\bdist.win-amd64\egg\pyaf\TS
copying build\lib\pyaf\TS\Scikit_Models.py -> build\bdist.win-amd64\egg\pyaf\TS
copying build\lib\pyaf\TS\SignalDecomposition.py -> build\bdist.win-amd64\egg\pyaf\TS
copying build\lib\pyaf\TS\SignalDecomposition_AR.py -> build\bdist.win-amd64\egg\pyaf\TS
copying build\lib\pyaf\TS\SignalDecomposition_Cycle.py -> build\bdist.win-amd64\egg\pyaf\TS
copying build\lib\pyaf\TS\SignalDecomposition_Quant.py -> build\bdist.win-amd64\egg\pyaf\TS
copying build\lib\pyaf\TS\SignalDecomposition_Trend.py -> build\bdist.win-amd64\egg\pyaf\TS
copying build\lib\pyaf\TS\SignalHierarchy.py -> build\bdist.win-amd64\egg\pyaf\TS
copying build\lib\pyaf\TS\Signal_Grouping.py -> build\bdist.win-amd64\egg\pyaf\TS
copying build\lib\pyaf\TS\Signal_Transformation.py -> build\bdist.win-amd64\egg\pyaf\TS
copying build\lib\pyaf\TS\Time.py -> build\bdist.win-amd64\egg\pyaf\TS
copying build\lib\pyaf\TS\TimeSeriesModel.py -> build\bdist.win-amd64\egg\pyaf\TS
copying build\lib\pyaf\TS\Utils.py -> build\bdist.win-amd64\egg\pyaf\TS
byte-compiling build\bdist.win-amd64\egg\pyaf\Bench\Artificial.py to Artificial.cpython-35.pyc
byte-compiling build\bdist.win-amd64\egg\pyaf\Bench\download_all_stock_prices.py to download_all_stock_prices.cpython-35.pyc
byte-compiling build\bdist.win-amd64\egg\pyaf\Bench\GenericBenchmark.py to GenericBenchmark.cpython-35.pyc
byte-compiling build\bdist.win-amd64\egg\pyaf\Bench\MComp.py to MComp.cpython-35.pyc
byte-compiling build\bdist.win-amd64\egg\pyaf\Bench\NN3.py to NN3.cpython-35.pyc
byte-compiling build\bdist.win-amd64\egg\pyaf\Bench\stocks_symbol_list.py to stocks_symbol_list.cpython-35.pyc
byte-compiling build\bdist.win-amd64\egg\pyaf\Bench\TS_datasets.py to TS_datasets.cpython-35.pyc
byte-compiling build\bdist.win-amd64\egg\pyaf\Bench\YahooStocks.py to YahooStocks.cpython-35.pyc
byte-compiling build\bdist.win-amd64\egg\pyaf\CodeGen\TS_CodeGenerator.py to TS_CodeGenerator.cpython-35.pyc
byte-compiling build\bdist.win-amd64\egg\pyaf\CodeGen\TS_CodeGen_Objects.py to TS_CodeGen_Objects.cpython-35.pyc
byte-compiling build\bdist.win-amd64\egg\pyaf\ForecastEngine.py to ForecastEngine.cpython-35.pyc
byte-compiling build\bdist.win-amd64\egg\pyaf\HierarchicalForecastEngine.py to HierarchicalForecastEngine.cpython-35.pyc
byte-compiling build\bdist.win-amd64\egg\pyaf\TS\Exogenous.py to Exogenous.cpython-35.pyc
byte-compiling build\bdist.win-amd64\egg\pyaf\TS\Keras_Models.py to Keras_Models.cpython-35.pyc
byte-compiling build\bdist.win-amd64\egg\pyaf\TS\Options.py to Options.cpython-35.pyc
byte-compiling build\bdist.win-amd64\egg\pyaf\TS\Perf.py to Perf.cpython-35.pyc
byte-compiling build\bdist.win-amd64\egg\pyaf\TS\Plots.py to Plots.cpython-35.pyc
byte-compiling build\bdist.win-amd64\egg\pyaf\TS\PredictionIntervals.py to PredictionIntervals.cpython-35.pyc
byte-compiling build\bdist.win-amd64\egg\pyaf\TS\Scikit_Models.py to Scikit_Models.cpython-35.pyc
byte-compiling build\bdist.win-amd64\egg\pyaf\TS\SignalDecomposition.py to SignalDecomposition.cpython-35.pyc
byte-compiling build\bdist.win-amd64\egg\pyaf\TS\SignalDecomposition_AR.py to SignalDecomposition_AR.cpython-35.pyc
byte-compiling build\bdist.win-amd64\egg\pyaf\TS\SignalDecomposition_Cycle.py to SignalDecomposition_Cycle.cpython-35.pyc
byte-compiling build\bdist.win-amd64\egg\pyaf\TS\SignalDecomposition_Quant.py to SignalDecomposition_Quant.cpython-35.pyc
byte-compiling build\bdist.win-amd64\egg\pyaf\TS\SignalDecomposition_Trend.py to SignalDecomposition_Trend.cpython-35.pyc
byte-compiling build\bdist.win-amd64\egg\pyaf\TS\SignalHierarchy.py to SignalHierarchy.cpython-35.pyc
byte-compiling build\bdist.win-amd64\egg\pyaf\TS\Signal_Grouping.py to Signal_Grouping.cpython-35.pyc
byte-compiling build\bdist.win-amd64\egg\pyaf\TS\Signal_Transformation.py to Signal_Transformation.cpython-35.pyc
byte-compiling build\bdist.win-amd64\egg\pyaf\TS\Time.py to Time.cpython-35.pyc
byte-compiling build\bdist.win-amd64\egg\pyaf\TS\TimeSeriesModel.py to TimeSeriesModel.cpython-35.pyc
byte-compiling build\bdist.win-amd64\egg\pyaf\TS\Utils.py to Utils.cpython-35.pyc
creating build\bdist.win-amd64\egg\EGG-INFO
copying pyaf.egg-info\PKG-INFO -> build\bdist.win-amd64\egg\EGG-INFO
copying pyaf.egg-info\SOURCES.txt -> build\bdist.win-amd64\egg\EGG-INFO
copying pyaf.egg-info\dependency_links.txt -> build\bdist.win-amd64\egg\EGG-INFO
copying pyaf.egg-info\requires.txt -> build\bdist.win-amd64\egg\EGG-INFO
copying pyaf.egg-info\top_level.txt -> build\bdist.win-amd64\egg\EGG-INFO
zip_safe flag not set; analyzing archive contents...
creating 'dist\pyaf-1.0-py3.5.egg' and adding 'build\bdist.win-amd64\egg' to it
removing 'build\bdist.win-amd64\egg' (and everything under it)
Processing pyaf-1.0-py3.5.egg
Copying pyaf-1.0-py3.5.egg to c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages
Adding pyaf 1.0 to easy-install.pth file
Installed c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages\pyaf-1.0-py3.5.egg
Processing dependencies for pyaf==1.0
Searching for SQLAlchemy==1.1.13
Best match: SQLAlchemy 1.1.13
Adding SQLAlchemy 1.1.13 to easy-install.pth file
Using c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages
Searching for pathos==0.2.1
Best match: pathos 0.2.1
Adding pathos 0.2.1 to easy-install.pth file
Using c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages
Searching for dill==0.2.7.1
Best match: dill 0.2.7.1
Adding dill 0.2.7.1 to easy-install.pth file
Using c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages
Searching for pydot==1.2.3
Best match: pydot 1.2.3
Adding pydot 1.2.3 to easy-install.pth file
Using c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages
Searching for matplotlib==2.0.2
Best match: matplotlib 2.0.2
Adding matplotlib 2.0.2 to easy-install.pth file
Using c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages
Searching for sklearn==0.0
Best match: sklearn 0.0
Adding sklearn 0.0 to easy-install.pth file
Using c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages
Searching for pandas==0.20.3
Best match: pandas 0.20.3
Adding pandas 0.20.3 to easy-install.pth file
Using c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages
Searching for scipy==0.19.1
Best match: scipy 0.19.1
Adding scipy 0.19.1 to easy-install.pth file
Using c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages
Searching for ppft==1.6.4.7.1
Best match: ppft 1.6.4.7.1
Adding ppft 1.6.4.7.1 to easy-install.pth file
Using c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages
Searching for pox==0.2.3
Best match: pox 0.2.3
Adding pox 0.2.3 to easy-install.pth file
Using c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages
Searching for multiprocess==0.70.5
Best match: multiprocess 0.70.5
Adding multiprocess 0.70.5 to easy-install.pth file
Using c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages
Searching for pyreadline==2.1
Best match: pyreadline 2.1
Adding pyreadline 2.1 to easy-install.pth file
Using c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages
Searching for pyparsing==2.2.0
Best match: pyparsing 2.2.0
Adding pyparsing 2.2.0 to easy-install.pth file
Using c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages
Searching for cycler==0.10.0
Best match: cycler 0.10.0
Adding cycler 0.10.0 to easy-install.pth file
Using c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages
Searching for pytz==2017.2
Best match: pytz 2017.2
Adding pytz 2017.2 to easy-install.pth file
Using c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages
Searching for python-dateutil==2.6.1
Best match: python-dateutil 2.6.1
Adding python-dateutil 2.6.1 to easy-install.pth file
Using c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages
Searching for six==1.10.0
Best match: six 1.10.0
Adding six 1.10.0 to easy-install.pth file
Using c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages
Searching for numpy==1.13.1+mkl
Best match: numpy 1.13.1+mkl
Adding numpy 1.13.1+mkl to easy-install.pth file
Using c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages
Searching for scikit-learn==0.19.0
Best match: scikit-learn 0.19.0
Adding scikit-learn 0.19.0 to easy-install.pth file
Using c:\toolkits\anaconda3-4.4.0\envs\python35\lib\site-packages
Finished processing dependencies for pyaf==1.0
(python35) C:\Users\dines\Desktop\pyaf-master>
私はpyAFライブラリが正常にインストールされていると思います。今、私は次のコードでJupyter上でそれをインポートして実行してみてください：
import pandas as pd
csvfile_link = "https://raw.githubusercontent.com/antoinecarme/TimeSeriesData/master/ozone-la.csv"
ozone_dataframe = pd.read_csv(csvfile_link);
import datetime
ozone_dataframe['Month'] = ozone_dataframe['Month'].apply(lambda x : datetime.datetime.strptime(x, "%Y-%m"))
ozone_dataframe.head()
%matplotlib inline
ozone_dataframe.plot.line('Month', ['Ozone'], grid = True, figsize=(12, 8))
その後、私は次のライブラリをインポートする場合：
The procedure entry point mkl_dnn_BatchNormalizationCreateBackward_v2_F32
could not be located in the dynamic link library C:\Toolkits\anaconda3-
4.4.0\envs\python35\lib\site-packages\numpy\core\mkl_intel_thread.dll
import pyaf.ForecastEngine as autof
lEngine = autof.cForecastEngine()
lEngine.train(ozone_dataframe , 'Month' , 'Ozone', 12);
を私は言って、エラーポップアップ取得します
このエラーポップアップは、[OK]ボタンを3回クリックしたままになると消えます。
誰でもこのライブラリを正常に実行するために必要なものを教えてください。私はこの問題の根本原因が何であるかについても気づいていません。助けてください。
）（NPとnp.show_configとしてnumpyのを実行
(python35) C:\Users\dines>python
Python 3.5.3 |Anaconda custom (64-bit)| (default, May 15 2017, 10:43:23) [MSC v.1900 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy as np
>>> np.show_config()
lapack_mkl_info:
include_dirs = ['C:/Program Files (x86)/IntelSWTools/compilers_and_libraries_2017/windows/mkl/include']
define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
library_dirs = ['C:/Program Files (x86)/IntelSWTools/compilers_and_libraries_2017/windows/mkl/lib/intel64_win']
libraries = ['mkl_lapack95_lp64', 'mkl_blas95_lp64', 'mkl_rt']
blas_mkl_info:
include_dirs = ['C:/Program Files (x86)/IntelSWTools/compilers_and_libraries_2017/windows/mkl/include']
define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
library_dirs = ['C:/Program Files (x86)/IntelSWTools/compilers_and_libraries_2017/windows/mkl/lib/intel64_win']
libraries = ['mkl_lapack95_lp64', 'mkl_blas95_lp64', 'mkl_rt']
blas_opt_info:
include_dirs = ['C:/Program Files (x86)/IntelSWTools/compilers_and_libraries_2017/windows/mkl/include']
define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
library_dirs = ['C:/Program Files (x86)/IntelSWTools/compilers_and_libraries_2017/windows/mkl/lib/intel64_win']
libraries = ['mkl_lapack95_lp64', 'mkl_blas95_lp64', 'mkl_rt']
lapack_opt_info:
include_dirs = ['C:/Program Files (x86)/IntelSWTools/compilers_and_libraries_2017/windows/mkl/include']
define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]
library_dirs = ['C:/Program Files (x86)/IntelSWTools/compilers_and_libraries_2017/windows/mkl/lib/intel64_win']
libraries = ['mkl_lapack95_lp64', 'mkl_blas95_lp64', 'mkl_rt']
>>>
あなたはnp'と' np.show_config（として '、次のimport numpyのを実行した場合、どのような結果あなたは入手できますか？ – neurite
@neurite、結果の編集済みの投稿（下）をご覧ください。ご協力いただきありがとうございます。 – Dinesh
更新していただきありがとうございます。私のMac上の線形代数ライブラリは、 '/ Users/neurite/Applications/miniconda3/envs/temp/lib'のフォルダに置かれています。起動したconda環境で 'conda install'（vs' pip install'）を使ってnumpyとscipyをインストールすれば、それは違いますか？互換性のないMKLライブラリのように見えます。また、このリンクをチェックアウト：https://docs.continuum.io/mkl-optimizations/ – neurite