安裝中文字典英文字典辭典工具!
安裝中文字典英文字典辭典工具!
|
- 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 package sklearn which will install scikit-learn for
- Find p-value (significance) in scikit-learn LinearRegression
Find p-value (significance) in scikit-learn LinearRegression Asked 10 years, 10 months ago Modified 2 years ago Viewed 443k times
- How to use pandas DataFrames with sklearn? - Stack Overflow
Like mentioned in the comments below your question your features and your label are persumably strings However, sklearn requires them to be numeric (sklearn is normally used with numpy arrays) If this is the case you have to convert the elements of your dataframe from strings to numeric values Looking at your code I assume that each element of your feature column is a list of strings and
- python - scikit-surprise installation in windows - Stack Overflow
Installation of scikit-surprise using pip in my project file, gives me an error like 'Error originates from subprocess' Then I tried to install it globally using conda
- Get confidence interval from sklearn linear regression in python
If you're looking to compute the confidence interval of the regression parameters, one way is to manually compute it using the results of LinearRegression from scikit-learn and numpy methods
- How to compute precision, recall, accuracy and f1-score for the . . .
For the classification Im using scikit's SVC The problem is I do not know how to balance my data in the right way in order to compute accurately the precision, recall, accuracy and f1-score for the multiclass case
- python - Will scikit-learn utilize GPU? - Stack Overflow
Reason to use scikit-learn : scikit-learn contains less boilerplate than the tensorflow implementation Reason to use tensorflow : If running on Nvidia GPU the algorithm will be run against in parallel , I'm not sure if scikit-learn will utilize all available GPUs?
- scikit learn - How are feature_importances in RandomForestClassifier . . .
In RandomForestClassifier, estimators_ attribute is a list of DecisionTreeClassifier (as mentioned in the documentation) In order to compute the feature_importances_ for the RandomForestClassifier, in scikit-learn's source code, it averages over all estimator's (all DecisionTreeClassifer's) feature_importances_ attributes in the ensemble
|
|
|