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 …

Oct 9, 2024 · ERROR: Failed building wheel for scikit-surprise Failed to build scikit-surprise ERROR: ERROR: Failed to build installable wheels for some pyproject.toml based projects …

To check the accuracy I used scikit-learn and SVM. Following this tutorial I made this script: import pandas as pd from sklearn.model_selection import train_test_split from sklearn import …

May 13, 2019 · 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 model …

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").

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 …

Jul 16, 2021 · That is a very elegant solution. Just note that in the current version of scikit-learn==1.4.2 you need to pass explicitly remainder='passthrough' for this to work.

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.

Anaconda comes with the conda package manager which is designed to handle these kinds of upgrades. Start by updating conda itself to get the most recent package lists: conda update …

Jan 13, 2015 · Find p-value (significance) in scikit-learn LinearRegression Asked 10 years, 9 months ago Modified 2 years ago Viewed 442k times