Difference between scikit-learn and sklearn
PythonPython 2.7Scikit LearnPython Problem Overview
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 "
What is the difference between scikit-learn and sklearn? Also, I cant import scikit-learn because of a syntax error
Python Solutions
Solution 1 - Python
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] 5:
> At the end, pip install sklearn or pip install scikit-learn ---
> apart from the annoying sklearn (0.0) showed in the pip list ---
> will install the latest available build from PyPI.
Solution 2 - Python
You might need to reinstall numpy. It doesn't seem to have installed correctly.
sklearn is how you type the scikit-learn name in python.
Also, try running the standard tests in scikit-learn and check the output. You will have detailed error information there.
Do you have nosetests installed? Try: nosetests -v sklearn. You type this in bash, not in the python interpreter.