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 …

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: def print_decision_tree(tree, …

I am building code on python using skimage. But I am getting import errors while using skimage.segmentation. Traceback (most recent call last): File "superpixel.py", line 5, in …

Jan 13, 2015 · Find p-value (significance) in scikit-learn LinearRegression Asked 11 years ago Modified 2 years, 3 months ago Viewed 444k times

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 …

Apr 9, 2020 · What are other formats to save the model for Scikit-learn, Keras, Tensorflow, and Mxnet? Also what info I am missing about each of the above-discussed formats?

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.

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 …

Feb 26, 2019 · In the specific case of scikit-learn, it may be better to use joblib’s replacement of pickle (dump & load), which is more efficient on objects that carry large numpy arrays internally as is often …