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 …
How to use pandas DataFrames with sklearn? - Stack Overflow
Like mentioned in the comments below your question your features and your label are persumably strings. However, sklearn requires them to be numeric (sklearn is normally used with numpy …
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 …
How to calculated the adjusted R2 value using scikit
How to calculated the adjusted R2 value using scikit Asked 7 years, 4 months ago Modified 3 years, 3 months ago Viewed 48k times
python - scikit-surprise installation in windows - Stack Overflow
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 …
Find p-value (significance) in scikit-learn LinearRegression
Sep 8, 2021 · Find p-value (significance) in scikit-learn LinearRegression Asked 10 years, 10 months ago Modified 2 years ago Viewed 442k times
What are the parameters for sklearn's score function?
Scikit-learns model.score (X,y) calculation works on co-efficient of determination i.e R^2 is a simple function that takes model.score= (X_test,y_test). It doesn't require y_predicted value to …
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 …
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 …
python - Will scikit-learn utilize GPU? - Stack Overflow
Reason to use scikit-learn : scikit-learn contains less boilerplate than the tensorflow implementation. Reason to use tensorflow : If running on Nvidia GPU the algorithm will be run …