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, …

Jan 13, 2015 · Find p-value (significance) in scikit-learn LinearRegression Asked 11 years, 3 months ago Modified 2 years, 5 months ago Viewed 445k times

2 Here is a function, printing rules of a scikit-learn decision tree under python 3 and with offsets for conditional blocks to make the structure more readable:

Stratified Train/Test-split in scikit-learn Asked 11 years ago Modified 5 years, 1 month ago Viewed 342k times

Feb 13, 2015 · 10 For checking the version of scikit-learn in shell script, if you have pip installed, you can try this command ... Hope it helps!

By the way I have seen random_state=42 used in many official examples of scikit as well as elsewhere also. random_state as the name suggests, is used for initializing the internal random number …

Jun 20, 2013 · What I'm looking for if this rmse function is implemented in a library somewhere, perhaps in scipy or scikit-learn?

It should now display the current (and desired) version of the scikit-learn library. For me personally, I tried using the conda command to update the scikit-learn library and it acted as if it were installing …

Jul 15, 2015 · Using 'weighted' in scikit-learn will weigh the f1-score by the support of the class: the more elements a class has, the more important the f1-score for this class in the computation. These are 3 …

Scikit-learn is not intended to be used as a deep-learning framework and it does not provide any GPU support. Why is there no support for deep or reinforcement learning / Will there be support for deep …