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, …
ModuleNotFoundError: No module named 'sklearn' - Stack Overflow
Sep 8, 2017 · I want to import scikit-learn, but there isn't any module apparently: ModuleNotFoundError: No module named 'sklearn' I am using Anaconda and Python 3.6.1. When I use the command: …
How to upgrade scikit-learn package in anaconda - Stack Overflow
conda list scikit-learn It should now display the current (and desired) version of the scikit-learn library. For me personally, I tried using the conda command to update the scikit-learn library and it acted as …
'super' object has no attribute '__sklearn_tags__'
Dec 18, 2024 · 'super' object has no attribute '__sklearn_tags__'. This occurs when I invoke the fit method on the RandomizedSearchCV object. I suspect it could be related to compatibility issues …
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 extract the decision rules from scikit-learn decision-tree?
2 Here is a function, printing rules of a scikit-learn decision tree under python 3 and with offsets for conditional blocks to make the structure more readable:
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 …
Scikit-learn train_test_split with indices - Stack Overflow
Jul 20, 2015 · Scikit-learn train_test_split with indices Asked 10 years, 5 months ago Modified 4 years, 3 months ago Viewed 172k times
How to handle missing values (NaN) in categorical data when using ...
Jun 16, 2020 · How to handle missing values (NaN) in categorical data when using scikit-learn OneHotEncoder? Asked 5 years, 7 months ago Modified 1 month ago Viewed 36k times
How does the class_weight parameter in scikit-learn work?
Jun 22, 2015 · I am having a lot of trouble understanding how the class_weight parameter in scikit-learn's Logistic Regression operates. The Situation I want to use logistic regression to do binary …