scikit-learn

Information

• Documentation: http://scikit-learn.org/stable/
• Github organization: http://github.org/scikit-learn/scikit-learn

Description

scikit-learn is a flexible machine-learning toolkit writtin in Python:

• Simple and efficient tools for data mining and data analysis
• Accessible to everybody, and reusable in various contexts
• Built on NumPy, SciPy, and matplotlib
• Open source, commercially usable - BSD license

Open Doc issues

• permutation_test_score documentation: pvalue when scoring is a loss function
• LogisticregressionCV doesn't document shape of C_ properly
• Isomap and LocallyLinearEmbedding do not accept sparse matrix input (contrary to documentation)
• TfidfTransformer.idf_ does not appear to be documented
• Zeal/Dash documentation
• SVM documentation clarification: Higher values of C -> more support vectors?
• TfidfVectorizer documentation doesn't track TfidfTransformer
• document _pairwise in the dev docs
• RFE/RFECV docstring should say estimator can supply feature_importances_ not just coef_
• Q: doc svc.fit_status_
• Add examples to class docs
• KernelDensity docstring
• Reformulate python version instructions in dev docs

Activity