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, …
How do I import scikit-learn in a jupyter notebook?
Sep 17, 2019 · I created a fresh conda environment for using scikit-learn and used conda install <package> to install scikit-learn, jupyter, pandas, etc. for compatible dependencies.. I checked if …
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 …
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, which uses the …
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...
Plot trees for a Random Forest in Python with Scikit-Learn
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 tree …
How to compute precision, recall, accuracy and f1-score for the ...
Jul 15, 2015 · How to fix sklearn warnings? Just simply (as yangjie noticed) overwrite average parameter with one of these values: 'micro' (calculate metrics globally), 'macro' (calculate metrics for …
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 …
ImportError: No module named model_selection - Stack Overflow
Nov 20, 2016 · I am trying to use train_test_split function and write: from sklearn.model_selection import train_test_split and this causes ImportError: No module named model_selection Why? And how to …