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
Regarding the difference sklearn vs. scikit-learn:
The package "scikit-learn" is recommended to be installed using pip install scikit-learn
but in your code imported using import sklearn
.
A bit confusing, because you can also do pip install sklearn
and will end up with the same scikit-learn package installed, because there is a "dummy" pypi package sklearn which will install scikit-learn for you.
From this thread:
scikit-learn is in install_requires of sklearn setup.py so you do end-up with scikit-learn installed
So:
At the end,
pip install sklearn
orpip install scikit-learn
--- apart from the annoyingsklearn (0.0)
showed in thepip list
--- will install the latest available build from PyPI.