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 / …
How to install scikit-surprise from the ground up - Stack Overflow
May 15, 2024 · And indeed, if we check scikit-suprise 1.1.3 on pypi, you can see that supported python versions only go up to 3.10. Nonetheless, the newest version 1.1.4 lists python 3.12 as a supported …
scikit learn - How are feature_importances in RandomForestClassifier ...
In RandomForestClassifier, estimators_ attribute is a list of DecisionTreeClassifier (as mentioned in the documentation). In order to compute the feature_importances_ for the RandomForestClassifier, in …
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 …
Installing an old version of scikit-learn - Stack Overflow
Jan 29, 2020 · In my case, I was able to "hack" the modern scikit learn to load a pickle created with a much older version: sys.modules['sklearn.preprocessing.label'] = …
How to compute precision, recall, accuracy and f1-score for the ...
Jul 15, 2015 · For the classification Im using scikit's SVC. The problem is I do not know how to balance my data in the right way in order to compute accurately the precision, recall, accuracy and f1-score …
python - installing skimage with pip3 fails - Stack Overflow
Nov 5, 2020 · If I replace skimage with scikit-image for the import command I get this error: SyntaxError: invalid syntax (with an arrow pointing on the "-" between scikit an image).
Label encoding across multiple columns in scikit-learn
Jun 28, 2014 · I'm trying to use scikit-learn's LabelEncoder to encode a pandas DataFrame of string labels. As the dataframe has many (50+) columns, I want to avoid creating a LabelEncoder object for …
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 …