gistfile1.txt

PS C:\Users\Administrator> conda install  mkl
Fetching package metadata: ..
Solving package specifications: .
Package plan for installation in environment C:\Anaconda:

The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    mkl-11.1                   |      np18py27_p3           4 KB
    mkl-rt-11.1                |               p0        80.9 MB
    mkl-service-1.0.0          |          py27_p1          18 KB
    numexpr-2.3.1              |      np18py27_p0         130 KB
    numpy-1.8.1                |          py27_p0         2.9 MB
    scikit-learn-0.15.0b1      |      np18py27_p0         2.9 MB
    ------------------------------------------------------------
                                           Total:        86.8 MB

The following packages will be UN-linked:

    package                    |            build
    ---------------------------|-----------------
    numexpr-2.3.1              |       np18py27_0
    numpy-1.8.1                |           py27_0
    scikit-learn-0.15.0b2      |       np18py27_0

The following packages will be linked:

    package                    |            build
    ---------------------------|-----------------
    mkl-11.1                   |      np18py27_p3   hard-link
    mkl-rt-11.1                |               p0   hard-link
    mkl-service-1.0.0          |          py27_p1   hard-link
    numexpr-2.3.1              |      np18py27_p0   hard-link
    numpy-1.8.1                |          py27_p0   hard-link
    scikit-learn-0.15.0b1      |      np18py27_p0   hard-link

WARNING: the process C:\Anaconda\Scripts\conda.exe install mkl (3460) is running
WARNING: Continuing installation while the above processes are running is
not recommended.  Please, close all Anaconda programs before installing or
updating things with conda.

Continue (yes/no/force) (y/[n]/f)? f

Fetching packages ...
mkl-11.1-np18p 100% |###############################| Time: 0:00:00   0.00  B/s
mkl-rt-11.1-p0 100% |###############################| Time: 0:00:09   8.76 MB/s
mkl-service-1. 100% |###############################| Time: 0:00:00   0.00  B/s
numexpr-2.3.1- 100% |###############################| Time: 0:00:00 780.47 kB/s
numpy-1.8.1-py 100% |###############################| Time: 0:00:01   2.74 MB/s
scikit-learn-0 100% |###############################| Time: 0:00:02   1.17 MB/s
Extracting packages ...
[      COMPLETE      ] |#################################################| 100%
Unlinking packages ...
[      COMPLETE      ] |#################################################| 100%
Linking packages ...
[      COMPLETE      ] |#################################################| 100%
PS C:\Users\Administrator> python .\dump.py
Vendor:  Continuum Analytics, Inc.
Package: mkl
Message: trial mode expires in 30 days
PS C:\Users\Administrator> notepad parallel_mmap.py
PS C:\Users\Administrator> python .\parallel_mmap.py
Vendor:  Continuum Analytics, Inc.
Package: mkl
Message: trial mode expires in 30 days
Memmaping (shape=(1000000L, 1000L), dtype=int64) to new file c:\users\admini~1\appdata\local\temp\2\joblib_memmaping_poo
l_3876_49116328\3876-50364992-45238528-0.pkl
Vendor:  Continuum Analytics, Inc.
Package: mkl
Message: trial mode expires in 30 days
Vendor:  Continuum Analytics, Inc.
Package: mkl
Message: trial mode expires in 30 days
Vendor:  Continuum Analytics, Inc.
VPendor:  Continuum Analytics, Inc.
ackage: mkl
PMessage: trial mode expires in 30 days
ackage: mkl
Message: trial mode expires in 30 days
Vendor:  Continuum Analytics, Inc.
Package: mkl
Message: trial mode expires in 30 days
Vendor:  Continuum Analytics, Inc.
Package: mkl
Message: trial mode expires in 30 days
Vendor:  Continuum Analytics, Inc.
VPendor:  Continuum Analytics, Inc.
ackage: mkl
PMackage: mkl
essage: trial mode expires in 30 days
Message: trial mode expires in 30 days
Memmaping (shape=(1000000L, 1000L), dtype=int64) to old file c:\users\admini~1\appdata\local\temp\2\joblib_memmaping_poo
l_3876_49116328\3876-50364992-45238528-0.pkl[Parallel(n_jobs=8)]: Done   1 out of  16 | elapsed:   39.6s remaining:  9.9
min

Memmaping (shape=(1000000L, 1000L), dtype=int64) to old file c:\users\admini~1\appdata\local\temp\2\joblib_memmaping_poo
l_3876_49116328\3876-50364992-45238528-0.pkl[Parallel(n_jobs=8)]: Done   2 out of  16 | elapsed:   39.6s remaining:  4.6
min

Memmaping (shape=(1000000L, 1000L), dtype=int64) to old file c:\users\admini~1\appdata\local\temp\2\joblib_memmaping_poo
l_3876_49116328\3876-50364992-45238528-0.pkl
[Parallel(n_jobs=8)]: Done   3 out of  16 | elapsed:   39.6s remaining:  2.9min
Memmaping (shape=(1000000L, 1000L), dtype=int64) to old file c:\users\admini~1\appdata\local\temp\2\joblib_memmaping_poo
l_3876_49116328\3876-50364992-45238528-0.pkl
Traceback (most recent call last):
  File ".\parallel_mmap.py", line 7, in <module>
    joblib.delayed(type)(a) for _ in range(16))
  File "C:\Anaconda\lib\site-packages\sklearn\externals\joblib\parallel.py", line 651, in __call__
    self.retrieve()
  File "C:\Anaconda\lib\site-packages\sklearn\externals\joblib\parallel.py", line 503, in retrieve
    self._output.append(job.get())
  File "C:\Anaconda\lib\multiprocessing\pool.py", line 558, in get
    raise self._value
WindowsError: [Error 1455] The paging file is too small for this operation to complete
PS C:\Users\Administrator>