["python","python-3.x","python-2.7","scikit-learn"]
Difference between scikit-learn and sklearn (now deprecated)

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
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.