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 …
A progress bar for scikit-learn? - Stack Overflow
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 ?
fit () vs fit_predict () methods in sklearn KMeans
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, …
ImportError: No module named sklearn (Python) - Stack Overflow
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 …
what is the difference between 'transform' and 'fit_transform' in …
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 …
Parameter "stratify" from method "train_test_split" (scikit Learn)
I am trying to use train_test_split from package scikit Learn, but I am having trouble with parameter stratify. Hereafter is the code: from sklearn import cross_validation, datasets X = …
Stratified Train/Test-split in scikit-learn - Stack Overflow
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 …
VS Code: ModuleNotFoundError: No module named 'sklearn'
Apr 5, 2021 · I am working in VS Code to run a Python script in conda environment named myenv where sklearn is already installed. However when I import it and run the script I get the …
Find p-value (significance) in scikit-learn LinearRegression
Jan 13, 2015 · How can I find the p-value (significance) of each coefficient? lm = sklearn.linear_model.LinearRegression () lm.fit (x,y)
How to save a trained model by scikit-learn? - Stack Overflow
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 …