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 …

Dec 13, 2015 · Yet curiously ExtraTreesClassifier which also belongs to sklearn.ensemble (just like AdaBoostClassifier), does allow it. Looks like not all members of sklearn.ensemble share …

Apr 4, 2016 · pip install -U scikit-learn pip3 install sklearn to install it; but when i type $ Python >>> import sklearn it returns . ImportError: No module named sklearn I followed other tutorials, but …

Jul 9, 2014 · I have a pandas dataframe with mixed type columns, and I'd like to apply sklearn's min_max_scaler to some of the columns. Ideally, I'd like to do these transformations in place, …

May 19, 2020 · create a temporary working environment (or roll back your current working environment) with the older sklearn. do imports something like: import sklearn.external.joblib …

Nov 23, 2016 · I assume that you have a matrix X where each row/line is a sample/observation and each column is a variable/feature (this is the expected input for any sklearn ML function by …

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 …

Mar 20, 2014 · Use 3 datasets, a training set, a separate 'development' dataset to tweak your parameters, and a test set that tests the final model, with the optimal parameters. Only change …

from sklearn import tree import pydotplus dot_data=tree.export_graphviz(dt,filled=True,rounded=True) …

Oct 8, 2013 · To add to @akilat90's update about sklearn.metrics.plot_confusion_matrix: You can use the ConfusionMatrixDisplay class within sklearn.metrics directly and bypass the need to …