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 confusing, …
How is the R2 value in Scikit learn calculated? - Stack Overflow
The R^2 in scikit learn is essentially the same as what is described in the wikipedia article on the coefficient of determination (grep for "the most general definition"). It is 1 - residual sum of square / …
python - Pycharm: No module named sklearn - Stack Overflow
But although scikit-learn (which contains sklearn, that was initially confusing) seems fully installed on my system, including "import sklearn" working outside of PyCharm, I could not get the "import sklearn" to …
ImportError: No module named sklearn (Python) - Stack Overflow
Apr 4, 2016 · I wanna use scikit-learn. I have typed pip install -U scikit-learn pip3 install sklearn to install it; but when i type $ Python >>> import sklearn it returns ImportError: No module na...
python - scikit-surprise installation in windows - Stack Overflow
Oct 9, 2024 · Installation of scikit-surprise using pip in my project file, gives me an error like 'Error originates from subprocess'. Then I tried to install it globally using conda.
Get confidence interval from sklearn linear regression in python
Apr 18, 2020 · If you're looking to compute the confidence interval of the regression parameters, one way is to manually compute it using the results of LinearRegression from scikit-learn and numpy …
Stratified Train/Test-split in scikit-learn - Stack Overflow
Scikit-learn provides two modules for Stratified Splitting: StratifiedKFold : This module is useful as a direct k-fold cross-validation operator: as in it will set up n_folds training/testing sets such that …
How to save a trained model by scikit-learn? [duplicate]
May 13, 2019 · Closed 4 years ago. I am trying to re-create the prediction of a trained model but I don't know how to save a model. For example, I want to save the trained Gaussian processing regressor …
Impute categorical missing values in scikit-learn
Impute categorical missing values in scikit-learn Asked 11 years, 3 months ago Modified 2 years, 6 months ago Viewed 130k times
Passing categorical data to Sklearn Decision Tree
Scikit-Learn itself provides very good classes to handle categorical data. Instead of writing your custom function, you should use LabelEncoder which is specially designed for this purpose.