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, …

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 …

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.

Jan 13, 2015 · Find p-value (significance) in scikit-learn LinearRegression Asked 11 years, 3 months ago Modified 2 years, 5 months ago Viewed 445k times

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:

Jun 20, 2013 · What is RMSE? Also known as MSE, RMD, or RMS. What problem does it solve? If you understand RMSE: (Root mean squared error), MSE: (Mean Squared Error) RMD (Root mean …

Scikit-learn classifiers generally choose the predicted class by taking the of scores/probabilities (see LogisticRegression and DecisionTreeClassifier). For , the is equal to using a 0.5 threshold on …

Stratified Train/Test-split in scikit-learn Asked 11 years ago Modified 5 years ago Viewed 342k times

Jul 10, 2015 · Scikit-learn: How to obtain True Positive, True Negative, False Positive and False Negative Asked 10 years, 9 months ago Modified 1 year, 10 months ago Viewed 287k times

Scikit-learn is not intended to be used as a deep-learning framework and it does not provide any GPU support. Why is there no support for deep or reinforcement learning / Will there be support for deep …