scikit-learn is a machine-learning library for Python that provides simple and efficient tools for data analysis and data mining, with a focus on machine learning.
On a fresh installation of Anaconda under Ubuntu... I am preprocessing my data in various ways prior to a classification …
python scikit-learn deprecation-warningI'm running GridSearch CV to optimize the parameters of a classifier in scikit. Once I'm done, I'd like to know …
python scikit-learn random-forest cross-validationI have this error for trying to load a saved SVM model. I have tried uninstalling sklearn, NumPy and SciPy, …
python numpy scikit-learnIn the sklearn-python toolbox, there are two functions transform and fit_transform about sklearn.decomposition.RandomizedPCA. The description of two …
python scikit-learnI want to apply scaling (using StandardScaler() from sklearn.preprocessing) to a pandas dataframe. The following code returns a numpy …
python numpy pandas scikit-learnI'm trying to understand the relationship between decision_function and predict, which are instance methods of SVC (http://scikit-learn.org/…
python numpy svm scikit-learnI am trying to convert threshold array(pickle file of isolation forest from scikit learn) of type from Float64 to …
python numpy scikit-learn pickleI have been working with the CountVectorizer class in scikit-learn. I understand that if used in the manner shown below, …
python machine-learning scikit-learn tf-idfIs it possible to specify your own distance function using scikit-learn K-Means Clustering?
python machine-learning cluster-analysis k-means scikit-learnI can't figure out how the sklearn.pipeline.Pipeline works exactly. There are a few explanation in the doc. For …
python machine-learning scikit-learn