I am running scikit-learn 0.24.2 on the intelpython3_full conda distribution.
I am trying to run:
from sklearn.model_selection import HalvingGridSearchCV
and get the following error:
ImportError: cannot import name 'HalvingGridSearchCV' from 'sklearn.model_selection'
I am trying to run it from jupyter notebook.
Already tried reinstalling scikit-learn:
conda uninstall scikit-learn
conda install scikit-learn -c intel
Also tried:
-c conda-forge
Always get this error. Other imports with sklearn, for instance GridSearchCV work.
Can someone help me with this?
This must be run first:
from sklearn.experimental import enable_halving_search_cv
and then this:
from sklearn.model_selection import HalvingGridSearchCV
Related
I am trying to run MPL Neural Network using the scikit-learn library running on Jupyter Notebook. However, I have been trying to import the MPLClassifier but failed. I also have tried solution from here, SKlearn import MLPClassifier fails. I followed the steps and installed everything but could not import the module from SKlearn which are,
Installed the SKlearn using pip install scikit-neuralnetwork
Installed the mingw package using conda install mingw libpython and conda install -c free mingw, as the package is not available when using https://jmeubank.github.io/tdm-gcc/
Checked its availability using conda list
It is giving the following error,
cannot import name 'MPLClassifier' from 'sklearn.neural_network'
May I get help on other alternatives to import the module?
I have been trying to utilise mutual_info_regression method from sklearn, I have updated sklearn to latest build which is 0.24.1 and when I checked the source code inside my conda env path there is folder and files for feature_selection.mutual_info_regression, but when I try to import it in my Jupiter notebook it throws this error ImportError: cannot import name 'mutual_info_regression' from 'sklearn.model_selection' (/opt/anaconda3/envs/<my_env>/lib/python3.8/site-packages/sklearn/model_selection/__init__.py)
I tried restarting kernel as well, but it is still not working, has anyone else faced this issue? Im using macOS 11.2.1 and conda 4.8.3 with Python3
Thanks
I found the solution,
I just had to restart my terminal and then it started working for some reason.
I hope this helps anyone facing such problem in future
Thanks SO!
import sklearn
print(sklearn.__version__)
Check your sklearn version sklearn.model_selection is only available for version 0.18.1
Then try this in Jupyter Notebook cell
from sklearn.feature_selection import mutual_info_regression
If any of the above doesn't work try these three steps
1- pip uninstall sklearn
2- pip uninstall scikit-learn
3- pip install sklearn
I am having a problem with this code. I am using Jupytor notebook and my code is as follows:
from sklearn.preprocessing import MinMaxScaler
Error I am having is:
ModuleNotFoundError: No module named 'sklearn'
I have tried using the following line of codes in order to import sklearn but it's still giving me the same error:
pip install -U scikit-learn
pip3 install sklearn
pip install sklearn
Can anyone please help me out with this?
I have tried every possible thing in my jupyter notebook still I couldn't resolve my error
Unable to import SMOTE due to error
ImportError: cannot import name 'lobpcg' from 'sklearn.utils.fixes' (E:\Installations\lib\site-packages\sklearn\utils\fixes.py)
Above error is displayed when I am trying to import below packages
from imblearn.combine import SMOTETomek
from imblearn import under_sampling, over_sampling
from imblearn.over_sampling import SMOTE
I have conda installed sklearn, imbllearn. Can some one help me to resolve this error
This is error is raised within scikit-learn.
Be sure to install both library using:
conda install scikit-learn -c conda-forge
conda install imbalanced-learn -c conda-forge
Be aware that I am using the conda-forge channel to install scikit-learn to get the version 0.22 because the latest version is not available on the conda default channel for the moment.
I am a total newbie in Python 3 and programming in general so I looked at other peoples code and just for the beginning paste one example into Jupyter. But right at the beginning, I get an Error "ModuleNotFoundError: No module named 'xgboost'" Why does this not work?
import pandas as pd
import numpy as np
import re
import sklearn
import xgboost as xgb // error
import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline
import plotly.offline as py
py.init_notebook_mode(connected=True)
import plotly.graph_objs as go
import plotly.tools as tls
import warnings
warnings.filterwarnings('ignore')
# Going to use these 5 base models for the stacking
from sklearn.ensemble import (RandomForestClassifier, AdaBoostClassifier, GradientBoostingClassifier, ExtraTreesClassifier)
from sklearn.svm import SVC
from sklearn.cross_validation import KFold
I am assuming you are running Anaconda, because this is the first error you encountered. You need to install this package: https://anaconda.org/anaconda/py-xgboost because the code you copied uses it and needs it.
You will probably get a plotly error too, so install https://anaconda.org/plotly/plotly and remember to restart Jupyter (or the kernel at least).
If you are not running Anaconda, run pip install xgboost and pip install plotly.
I tried
pip install xgboost
and
pip3 install xgboost
But it doesn't work
##ModuleNotFoundError: No module named 'xgboost'
It worked in the Jupyter Notebook cell
import sys
!{sys.executable} -m pip install xgboost
Go to command prompt >> By typing "cmd" in your windows search engine.>> Please type "pip install xgboost".
Later, close your Jupyter notebook and open it again. Run the respective cell.
If you are still getting the error then :
Add a cell in Jupyter notebook and type "pip install xgboost". Run this cell. Now it will work.
Giving a very detailed answer since beginners might be here too. Hope this helps! Be motivated! You can do it!
conda install -c conda-forge xgboost