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 …
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 …
ModuleNotFoundError: No module named sklearn - Stack Overflow
Aug 29, 2020 · When I run: from sklearn import datasets I get the error: ModuleNotFoundError: No module named 'sklearn' How can I solve this?
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 …
Stratified Train/Test-split in scikit-learn - Stack Overflow
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 …
python - ImportError in importing from sklearn: cannot import …
Mar 7, 2013 · Poking around the __init__.py in that directory, the next step I'd take is to go to sklearn/__init__.py and comment out the import statement---the check_build stuff just checks …
Can anyone explain me StandardScaler? - Stack Overflow
Nov 23, 2016 · I am unable to understand the page of the StandardScaler in the documentation of sklearn. Can anyone explain this to me in simple terms?
python - How to find the importance of the features for a logistic ...
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 …
pandas dataframe columns scaling with sklearn - Stack Overflow
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, …
python - How to use sklearn fit_transform with pandas and return ...
Mar 1, 2016 · How to use sklearn fit_transform with pandas and return dataframe instead of numpy array? Asked 9 years, 8 months ago Modified 9 months ago Viewed 236k times