ModuleNotFoundError: No module named 'sklearn' - Stack Overflow
Sep 8, 2017 · ModuleNotFoundError: No module named 'sklearn' I am using Anaconda and Python 3.6.1. When I use the command: conda install scikit-learn, should this not just work? Where does …
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 confusing, …
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 module na...
sklearn plot confusion matrix with labels - Stack Overflow
I want to plot a confusion matrix to visualize the classifer's performance, but it shows only the numbers of the labels, not the labels themselves: from sklearn.metrics import confusion_matrix imp...
python - ImportError in importing from sklearn: cannot import name ...
Mar 7, 2013 · I had problems importing SKLEARN after installing a new 64bit version of Python 3.4 from python.org. Turns out that it was the SCIPY module that was broken, and alos failed when I tried to …
what is the difference between 'transform' and 'fit_transform' in sklearn
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 But what is …
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 following error: …
python - How to use sklearn fit_transform with pandas and return ...
Mar 1, 2016 · Edit 2: Came across the sklearn-pandas package. It's focused on making scikit-learn easier to use with pandas. sklearn-pandas is especially useful when you need to apply more than …
Stratified Train/Test-split in scikit-learn - Stack Overflow
X, Xt, userInfo, userInfo_train = sklearn.cross_validation.train_test_split(X, userInfo) However, I'd like to stratify my training dataset. How do I do that? I've been looking into the StratifiedKFold method, but …
scikit learn - Is there a library function for Root mean square error ...
Jun 20, 2013 · Another advantage of having this in sklearn is the sklearn implementations have a lot of additional boiler plate code to ensure the arrays are of the same shape, and includes the weights …