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, …

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 …

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:

Sep 17, 2019 · I created a fresh conda environment for using scikit-learn and used conda install <package> to install scikit-learn, jupyter, pandas, etc. for compatible dependencies.. I checked if …

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: …

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 …

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 …

5 Scikit-learn classifiers generally choose the predicted class by taking the argmax of scores/probabilities (see LogisticRegression and DecisionTreeClassifier). For binary classification …

Sep 25, 2019 · There is a library related to scikit-learn named skrub that lets you encode columns using scikit-learn transformers with much more control on which columns get transformed how.

Sep 8, 2021 · Find p-value (significance) in scikit-learn LinearRegression Asked 11 years, 1 month ago Modified 2 years, 3 months ago Viewed 444k times