
Difference between scikit-learn and sklearn (now deprecated)
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 …
'super' object has no attribute '__sklearn_tags__'
Dec 18, 2024 · But what the guy above me said, uninstall and reinstalling a lower version of sklearn (i used version 1.5.2) fixed this issue for me! !pip uninstall -y scikit-learn !pip install …
fit () vs fit_predict () methods in sklearn KMeans
Mar 25, 2021 · There are two methods when we make a model on sklearn.cluster.KMeans. The first is fit() and the other is fit_predict(). My understanding is that when we use the fit() method …
Using scikit-learn LinearRegression to plot a linear fit
Dec 3, 2016 · The sklearn.LinearRegression.fit takes two arguments. First the "training data", which should be a 2D array, and second the "target values". In the case considered here, we …
A progress bar for scikit-learn? - Stack Overflow
Dec 13, 2015 · Yet curiously ExtraTreesClassifier which also belongs to sklearn.ensemble (just like AdaBoostClassifier), does allow it. Looks like not all members of sklearn.ensemble share …
sklearn plot confusion matrix with labels - Stack Overflow
Oct 8, 2013 · To add to @akilat90's update about sklearn.metrics.plot_confusion_matrix: You can use the ConfusionMatrixDisplay class within sklearn.metrics directly and bypass the need to …
return coefficients from Pipeline object in sklearn
May 9, 2017 · Firstly, as the User Guide of sklearn points out, The Pipline is built using a list of (key, value) pairs (i.e. steps), where the key is a string containing the name you want to give …
VS Code: ModuleNotFoundError: No module named 'sklearn'
Apr 5, 2021 · according to pypi: use pip install scikit-learn rather than pip install sklearn. in my experience this works: C:\Users\gfernandez>pip install sklearn Collecting sklearn Using …
Parameter "stratify" from method "train_test_split" (scikit Learn)
Then second, to correct imbalance you eventually need to run oversampling or undersampling on the training set. Many Sklearn classifier has a parameter called class-weight which you can set …
ImportError: No module named sklearn (Python) - Stack Overflow
Apr 4, 2016 · pip install -U scikit-learn pip3 install sklearn to install it; but when i type $ Python >>> import sklearn it returns . ImportError: No module named sklearn I followed other tutorials, but …