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 · Is there any way to have a progress bar to the fit method in scikit-learn ? Is it possible to include a custom one with something like Pyprind ?

Apr 4, 2016 · I wanna use scikit-learn. I have typed pip install -U scikit-learn pip3 install sklearn to install it; but when i type $ Python >>> import sklearn it returns ImportError: No …

Mar 25, 2021 · KMeans is just one of the many models that sklearn has, and many share the same API. The basic functions are fit, which teaches the model using examples, and predict, …

Jan 13, 2015 · How can I find the p-value (significance) of each coefficient? lm = sklearn.linear_model.LinearRegression () lm.fit (x,y)

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 …

May 24, 2014 · In the sklearn-python toolbox, there are two functions transform and fit_transform about sklearn.decomposition.RandomizedPCA. The description of two functions are as follows …

Apr 3, 2015 · I currently do that with the code below: X, Xt, userInfo, userInfo_train = sklearn.cross_validation.train_test_split(X, userInfo) However, I'd like to stratify my training …

Since scikit-learn 0.22, sklearn defines a sklearn.inspection module which implements permutation_importance, which can be used to find the most important features - higher value …

Oct 20, 2016 · I want to plot a decision tree of a random forest. So, i create the following code: clf = RandomForestClassifier(n_estimators=100) import pydotplus import six from sklearn import …