About 7,370,000 results
Open links in new tab
  1. Difference between scikit-learn and sklearn (now deprecated)

    The 'sklearn' PyPI package is deprecated, use 'scikit-learn' rather than 'sklearn' for pip commands. Hereafter sklearn won't available for pip install from the latest versions. So it is better to start scikit …

  2. 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 ?

  3. Find p-value (significance) in scikit-learn LinearRegression

    Sep 8, 2021 · How can I find the p-value (significance) of each coefficient? lm = sklearn.linear_model.LinearRegression () lm.fit (x,y)

  4. 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...

  5. 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 …

  6. 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 and recreate …

  7. 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 …

  8. Scikit-learn: How to obtain True Positive, True Negative, False ...

    Jul 10, 2015 · Can anyone explain what is the difference between this accuracy (ACC) and accuracy measured by sklearn.metrics.accuracy_score. Because there is a difference in the result of both results.

  9. 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: …

  10. How to compute precision, recall, accuracy and f1-score for the ...

    Jul 15, 2015 · from sklearn.datasets import make_classification from sklearn.cross_validation import StratifiedShuffleSplit from sklearn.metrics import accuracy_score, f1_score, precision_score, …