pypipython-3.x95% confidence\u2191 81

Difference between scikit-learn and sklearn (now deprecated)

Full error message

On OS X 10.11.6 and python 2.7.10 I need to import from sklearn  manifold. 
I have numpy 1.8 Orc1, scipy .13 Ob1 and scikit-learn 0.17.1 installed.

I used pip to install sklearn(0.0), but when I try to import from sklearn manifold I get the following: 

  Traceback (most recent call last):   File "", line 1, in
     File
  "/Library/Python/2.7/site-packages/sklearn/init.py", line 57, in
       from .base import clone   File
  "/Library/Python/2.7/site-packages/sklearn/base.py", line 11, in
       from .utils.fixes import signature   File
  "/Library/Python/2.7/site-packages/sklearn/utils/init.py", line
  10, in      from .murmurhash import murmurhash3_32   File
  "numpy.pxd", line 155, in init sklearn.utils.murmurhash
  (sklearn/utils/murmurhash.c:5029) ValueError: numpy.dtype has the
  wrong size, try recompiling.

What is the difference between scikit-learn and sklearn?  Also, 
I cant import scikit-learn because of a syntax error

Solutionsource: stackoverflow \u2197

You might need to reinstall numpy. It doesn't seem to have been installed correctly. sklearn is how you type the scikit-learn name in python (only the latter should be installed, the former is now deprecated). Also, try running the standard tests in scikit-learn and check the output. You will have detailed error information there. As a side note, do you have nosetests installed? Try: nosetests -v sklearn. You type this in bash, not in the python interpreter.

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