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, because you can also do pip install sklearn and will end up with the same scikit-learn package installed, because there is a "dummy" pypi ...
How do I import scikit-learn in a jupyter notebook?
2019年9月17日 · 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 sklearn was
ModuleNotFoundError: No module named 'sklearn' - Stack Overflow
2017年9月8日 · The above did not help. Then I simply installed sklearn from within Jypyter-lab, even though sklearn 0.0 shows in 'pip list':!pip install sklearn import sklearn What I learned later is that pip installs, in my case, packages in a different folder than Jupyter. This can be seen by executing: import sys print(sys.path)
VS Code: ModuleNotFoundError: No module named 'sklearn'
2021年4月5日 · Traceback (most recent call last): File "d:\ML\Project\src\train.py", line 5, in <module> from sklearn.linear_models import LinearRegression ModuleNotFoundError: No module named 'sklearn' I have tried all possible solutions suggested in the following but nothing worked for me: ModuleNotFoundError: No module named 'sklearn'
A progress bar for scikit-learn? - Stack Overflow
2015年12月13日 · Yet curiously ExtraTreesClassifier which also belongs to sklearn.ensemble (just like AdaBoostClassifier), does allow it. Looks like not all members of sklearn.ensemble share the same base properties.
ImportError: No module named sklearn (Python) - Stack Overflow
2016年4月4日 · pip install -U scikit-learn pip3 install sklearn to install it; but when i type $ Python >>> import sklearn it returns . ImportError: No module named sklearn I followed other tutorials, but it doesn't work. Furthermore, my enviroment returns this warning:
How to get a classifier's confidence score for a prediction in sklearn?
2015年6月30日 · I would like to get a confidence score of each of the predictions that it makes, showing on how sure the classifier is on its prediction that it is correct. I want something like this: How sure...
what is the difference between 'transform' and 'fit_transform' in …
2014年5月24日 · 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 the diffe...
How to create my own datasets using in scikit-learn?
from sklearn import datasets boston = datasets.load_boston() and codes below can get the data and target of this dataset: X = boston.data y = boston.target The question is how to create my own dataset and can be used in that way? Any answers is appreciated, Thanks!
Sklearn - How to predict probability for all target labels
2016年7月16日 · On the sklearn website I read about multi-label classification, but this doesn't seem to be what I want. I tried the following code, but this only gives me one classification per sample. from sklearn.multiclass import OneVsRestClassifier clf = OneVsRestClassifier(DecisionTreeClassifier()) clf.fit(X_train, y_train) pred = clf.predict(X_test)