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, …
'super' object has no attribute '__sklearn_tags__'
Dec 18, 2024 · 'super' object has no attribute '__sklearn_tags__'. This occurs when I invoke the fit method on the RandomizedSearchCV object. I suspect it could be related to compatibility issues …
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...
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 …
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 …
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 …
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 …
Python- How to import DecisionTree Classifier from sklearn.tree
Feb 12, 2022 · Python- How to import DecisionTree Classifier from sklearn.tree Asked 3 years, 11 months ago Modified 1 year, 2 months ago Viewed 6k times
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 …
Parameter "stratify" from method "train_test_split" (scikit Learn)
I am trying to use train_test_split from package scikit Learn, but I am having trouble with parameter stratify. Hereafter is the code: from sklearn import cross_validation, datasets X = iris.data...