No module named sklearn ошибка

Sklearn or scikit learn is the most popular, free machine learning library for python. It includes widely used machine learning algorithms such as regression models, k nearest neighbors, k means clustering, support vector machine, dbscan, random forests, etc. Hence, there’s no surprise that data scientists or anyone with a passion for machine learning and Artificial Intelligence would want to install scikit learn in their systems. But a lot of developers have to face ModuleNotFoundError: No module named ‘sklearn’ once they try to execute their code. There can be a couple of reasons why they are seeing this error.

But first, What is a ModuleNotFoundError?

Simply A ModuleNotFoundError (In this particular case no module named ‘sklearn’ error) is raised at runtime when the python is unable/fails to import a module into your program. There are a few possible reasons behind this error.

1. Python cannot locate the module in your import command
2. You have misspelled your module name in your import command
3. You simply haven’t installed that module

Common Cause of ModuleNotFoundError: No module named ‘sklearn’

In most cases of no module named ‘sklearn’, we can rule out the number two and number three causes that I have just mentioned in the above section.

Because most of the time we know that we have installed scikit learn beforehand. And we also know that we have typed the name correctly.

Then it must be that python cannot locate sklearn module, right? Yes, Of Course!

Reasons why Python cannot locate the sklearn/scikit learn module

The reasons can be very complicated because every case is different. So one’s cause for no module named ‘sklearn’ error might not be the same as someone else’s. There are many possible scenarios why python cannot locate sklearn module. Starting from different python virtual environments and different python versions to things like whether you are running your algorithm in jupyter notebooks or in an IDE like PyCharm, can all be a possible cause. So we have to investigate every single scenario and apply possible fixes. Otherwise, we aren’t addressing no module named ‘sklearn’ in everyone’s favor!

Are you a complete beginner to Scikit-Learn? Or do you want more hands-on tutorials? Then check out the following Scikit Learn Books for beginners.

Scikit Learn has been installed in a different virtual environment than your program being executed

The first thing you should do when you see this error is to check your python virtual environment. Is it the same environment that you installed scikit learn into? If not, then python can’t locate the sklearn module and hence raises the error.

I have installed all my machine learning libraries and packages into a default environment called “tensorflow“. Why named TensorFlow? It’s just because I am working heavily with TensorFlow projects currently. The name of the environment can be anything that you wish. It’s just a method for isolating and organizing your different python projects so everything is clean and separated. You don’t have to worry about version incompatibilities, etc. if you have different environments.

But now, let’s import sklearn into a different python environment in PyCharm and check whether python can locate it or not.

Yes, you guessed right! Python cannot locate sklearn module! We get the ModuleNotFoundError: No module named ‘sklearn’ error.

Let me edit my project environment and set it to tensorflow. And try again. Sown below.

Running the code again, with the correct environment (tensorflow) where sklearn has been installed.

Now as you can see the problem has been solved. Hence, we can continue with our machine learning code, there are numerous things to be done using scikit learn after all! 🙂

ModuleNotFoundError: No module named ‘sklearn’ error in Jupyter Notebooks

Not everyone’s running their ML programs in a real IDE. Often developers use jupyter as an easy python development environment that actually lives on web. When trying to run sklearn within jupyter notebooks people seem to face no module named sklearn error often.

Let’s now look for the possible causes for this no module named ‘sklearn’ errors raised in jupyter notebooks.

Again, we know that we have installed scikit learn and we have spelled the thing correctly. So the obvious cause behind the error is that python cannot find the sklearn module to import.

Best practice of installing Jupyter notebooks with scikit learn in your computer to avoid ModuleNotFoundError: No module named ‘sklearn’

The best way to install jupyter and to work with essential python packages and modules like sklearn by default is by installing the Anaconda distribution. I highly recommend installing Anaconda. Every machine learning enthusiast should have this amazing distribution for python installed. 🙂

Do you already have Anaconda installed? Then what version it is? Read this guide to find that out. Check Anaconda Version in Windows?

If you have installed the latest Anaconda version, you must already have jupyter notebooks and scikit learn pre-installed. Then you should be able to run jupyter notebook and import sklearn with no issue.

Simply go to your CMD and type and hit enter the following command.

jupyter notebook

This will automatically open up jupyter notebook for you.

Let’s start a new notebook and checking whether we can import sklearn with no errors

import sklearn

sklearn. __version__

Success! There is no ModuleNotFoundError: No module named ‘sklearn’. I have the latest scikit- library which is 0.24.1.

No module named ‘sklearn’ error when jupyter notebooks and skleran installed separately

If you have installed jupyter notebooks and scikit-learn separately the chances are that jupyter notebooks cannot locate sklearn module to import.

Scenario 01:

For an example, you might have installed jupyter notebooks using another package manager like snap. Then Jupyter notebook will look for sklearn module inside the snap manager, which will raise an error ModuleNotFoundError: No module named ‘sklearn’.

Scenario 02:

Both Conda and pip install scikit-learn under the following path when using virtual environments.

~/anaconda3/envs/$ENV/lib/python"version"/site-packages

But Jupyter notebook searches for the installed packages under,

~/anaconda3/lib/python"version"/site-packages

Hence, it can’t locate the installed sklearn module. Then you get the infamous ModuleNotFoundError: No module named ‘sklearn’, yet again!

You can check the path of sklearn by running the following code in jupyter notebook.

import sklearn
sklearn.__file__

To avoid path mismatch, we can install scikit learn always under,

~/anaconda3/lib/python"version"/site-packages

Do you have several python versions installed in your computer?

When you have several python versions installed you are asking for trouble. Each python version must have its own path for Libsite-packages and its own set of packages and modules installed. So when your python machine learning program is looking for the sklearn module it literally doesn’t have any idea which python version’s path to look for. Hence raises ModuleNotFoundError: No module named ‘sklearn’ error.

As a solution, you can have one python version installed on your computer. If you do need several versions to be installed then you must install sklearn module into where jupyter notebook is pointing when it imports external modules.

Conclusion

ModuleNotFoundError: No module named ‘sklearn’ isn’t a complicated error. It’s a simple runtime error when python cannot import the specified module into your code. Most of the time this is because python cannot locate the path where sklearn module has been installed into. On other occasions, it’s we being so busy and misspelling the word “sklearn” in to something else. Lastly, in rare situations, it can be that we are trying to import the sklearn module when it’s hasn’t actually been installed! The bottom line is that this error isn’t something serious, you can always figure out what has gone wrong, and then fix it.

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A common error you may encounter when using Python is modulenotfounderror: no module named ‘sklearn’. This error occurs when Python cannot detect the Scikit-learn library in your current environment, and Scikit-learn does not come with the default Python installation. This tutorial goes through the exact steps to troubleshoot this error for the Windows, Mac and Linux operating systems.

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ModuleNotFoundError: no module named ‘sklearn’

What is ModuleNotFoundError?

The ModuleNotFoundError occurs when the module you want to use is not present in your Python environment. There are several causes of the modulenotfounderror:

The module’s name is incorrect, in which case you have to check the name of the module you tried to import. Let’s try to import the re module with a double e to see what happens:

import ree

---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
1 import ree

ModuleNotFoundError: No module named 'ree'

To solve this error, ensure the module name is correct. Let’s look at the revised code:

import re

print(re.__version__)

2.2.1

You may want to import a local module file, but the module is not in the same directory. Let’s look at an example package with a script and a local module to import. Let’s look at the following steps to perform from your terminal:

mkdir example_package

cd example_package

mkdir folder_1

cd folder_1

vi module.py

Note that we use Vim to create the module.py file in this example. You can use your preferred file editor, such as Emacs or Atom. In module.py, we will import the re module and define a simple function that prints the re version:

import re

def print_re_version():

    print(re.__version__)

Close the module.py, then complete the following commands from your terminal:

cd ../

vi script.py

Inside script.py, we will try to import the module we created.

import module

if __name__ == '__main__':

    mod.print_re_version()

Let’s run python script.py from the terminal to see what happens:

ModuleNotFoundError: No module named 'module'

To solve this error, we need to point to the correct path to module.py, which is inside folder_1. Let’s look at the revised code:

import folder_1.module as mod

if __name__ == '__main__':

    mod.print_re_version()

When we run python script.py, we will get the following result:

2.2.1

Lastly, you can encounter the modulenotfounderror when you import a module that is not installed in your Python environment.

What is Scikit-learn?

Scikit-learn is a Python module for machine learning. The library is mainly written in Python and is built on NumPy, SciPy, and Matplotlib. The simplest way to install Scikit-learn is to use the package manager for Python called pip. The following instructions to install Scikit-learn are for the major Python version 3.

How to install Scikit-learn on Windows Operating System

You need to download and install Python on your PC. Ensure you select the install launcher for all users and Add Python to PATH checkboxes. The latter ensures the interpreter is in the execution path. Pip is automatically on Windows for Python versions 2.7.9+ and 3.4+.

You can install pip on Windows by downloading the installation package, opening the command line and launching the installer. You can install pip via the CMD prompt by running the following command.

python get-pip.py

You may need to run the command prompt as administrator. Check whether the installation has been successful by typing.

pip --version

To install Scikit-learn with pip, run the following command from the command prompt.

pip install -U scikit-learn

How to install Scikit-learn on Mac Operating System

Open a terminal by pressing command (⌘) + Space Bar to open the Spotlight search. Type in terminal and press enter. To get pip, first ensure you have installed Python3.

You can install Python3 by using the Homebrew package manager:

/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

export PATH="/usr/local/opt/python/libexec/bin:$PATH"

# if you are on macOS 10.12 (Sierra) use `export PATH="/usr/local/bin:/usr/local/sbin:$PATH"`

brew update

brew install python  # Python 3

python3 --version

Python 3.8.8

Download pip by running the following curl command:

curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py

The curl command allows you to specify a direct download link, and using the -o option sets the name of the downloaded file.

Install pip by running:

python3 get-pip.py

From the terminal, use pip3 to install Scikit-learn:

pip install -U scikit-learn

How to install Scikit-learn on Linux Operating System

All major Linux distributions have Python installed by default. However, you will need to install pip. You can install pip from the terminal, but the installation instructions depend on the Linux distribution you are using. You will need root privileges to install pip. Open a terminal and use the commands relevant to your Linux distribution to install pip.

Installing pip for Ubuntu, Debian, and Linux Mint

sudo apt install python-pip3

Installing pip for CentOS 8 (and newer), Fedora, and Red Hat

sudo dnf install python-pip3

Installing pip for CentOS 6 and 7, and older versions of Red Hat

sudo yum install epel-release

sudo yum install python-pip3

Installing pip for Arch Linux and Manjaro

sudo pacman -S python-pip

Installing pip for OpenSUSE

sudo zypper python3-pip

Once you have installed pip, you can install Scikit-learn using:

pip install -U scikit-learn

Check Scikit-Learn Version

Once you have successfully installed Scikit-learn, you can use two methods to check the version of Scikit-learn. First, you can use pip show from your terminal.

pip show scikit-learn

Name: scikit-learn
Version: 0.24.1
Summary: A set of python modules for machine learning and data mining
Home-page: http://scikit-learn.org
Author: None
Author-email: None
License: new BSD
Location: /Users/Yusufu.Shehu/opt/anaconda3/lib/python3.8/site-packages
Requires: threadpoolctl, numpy, scipy, joblib
Required-by: mlxtend, imbalanced-learn 

Second, within your python program, you can import Scikit-Learn and then reference the __version__ attribute:

import sklearn

print(sklearn.__version__)

0.24.1

Installing Scikit-Learn Using Anaconda

Anaconda is a distribution of Python and R for scientific computing and data science. You can install Anaconda by going to the installation instructions. Once you have installed Anaconda, you can install Scikit-learn using the following command:

conda install -c conda-forge scikit-learn

Prerequisites Before Using Scikit-Learn

Before you can start using the latest release of scikit-learn, you must have the following installed:

• Python (>= 3.5)
• NumPy (>= 1.11.0)
• SciPy (>= 0.17.0)
• Joblib (>= 0.11)
• Matplotlib (>= 1.5.1) required for Scikit-Learn plotting capabilities
• Pandas (>= 0.18.0) is required for Scikit-learn data structure and analysis

Summary

Congratulations on reading to the end of this tutorial. The modulenotfounderror occurs if you misspell the module name, incorrectly point to the module path or do not have the module installed in your Python environment. If you do not have the module installed in your Python environment, you can use pip to install the package. However, you must ensure you have pip installed on your system. You can also install Anaconda on your system and use the conda install command to install the Scikit-learn library.

You may encounter a ModuleNotFoundError when trying to use a class or function from a module in Scikit-Learn. To solve this error, go to the article: How to Solve ModuleNotFoundError: No module named ‘sklearn.cross_validation’.

For further reading on installing data science and machine learning libraries, you can go to the articles:

• OpenCV: How to Solve Python ModuleNotFoundError: no module named ‘cv2’
• Requests: How to Solve Python ModuleNotFoundError: no module named ‘requests’
• Pandas: How to Solve Python ModuleNotFoundError: no module named ‘pandas’
• Matplotlib: How to Solve Python ModuleNotFoundError: no module named ‘matplotlib’
• Numpy: How to Solve Python ModuleNotFoundError: no module named ‘numpy’
• Imbalanced-learn: How to Solve Python ModuleNotFoundError: no module named ‘imblearn’

Go to the online courses page on Python to learn more about Python for data science and machine learning.

Have fun and happy researching!