{"id":23167,"library":"skrebate","title":"skrebate","description":"A scikit-learn-compatible implementation of Relief-based feature selection algorithms for classification and regression. Current version 0.62; development is infrequent (last release 2020).","status":"maintenance","version":"0.62","language":"python","source_language":"en","source_url":"https://github.com/EpistasisLab/scikit-rebate","tags":["feature-selection","relief","scikit-learn","machine-learning"],"install":[{"cmd":"pip install skrebate","lang":"bash","label":"pip"}],"dependencies":[{"reason":"Numerical operations","package":"numpy","optional":false},{"reason":"Base estimator and transformer interface","package":"scikit-learn","optional":false},{"reason":"Sparse matrix support","package":"scipy","optional":false}],"imports":[{"note":"Old import path from pre-0.5 versions, raises ImportError","wrong":"from skrebate import Relief","symbol":"ReliefF","correct":"from skrebate import ReliefF"},{"note":"Wrong submodule; direct import from skrebate is correct","wrong":"from skrebate.skmethods import SURF","symbol":"SURF","correct":"from skrebate import SURF"},{"note":"","wrong":"","symbol":"MultiSURF","correct":"from skrebate import MultiSURF"}],"quickstart":{"code":"from skrebate import ReliefF\nfrom sklearn.datasets import load_iris\nfrom sklearn.model_selection import train_test_split\n\nX, y = load_iris(return_X_y=True)\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n\n# Feature selection with ReliefF\nfs = ReliefF(n_neighbors=10, n_features_to_select=2)\nfs.fit(X_train, y_train)\nX_train_selected = fs.transform(X_train)\nX_test_selected = fs.transform(X_test)\nprint(X_train_selected.shape)\n","lang":"python","description":"Basic ReliefF feature selection on the Iris dataset"},"warnings":[{"fix":"Always pass n_features_to_select explicitly, even if you want all features (use n_features_to_select=X.shape[1]).","message":"The 'n_features_to_select' parameter is required and must be specified. If omitted, a warning is issued and no features are selected (transform returns empty array).","severity":"gotcha","affected_versions":"all"},{"fix":"Apply one-hot encoding or label encoding before fitting. Note that one-hot may increase dimensionality and affect neighbor distances.","message":"ReliefF and SURF algorithms expect continuous features. They do not handle categorical features natively; encoding (e.g., one-hot) is required.","severity":"gotcha","affected_versions":"all"},{"fix":"Remove verbose flag or set verbose=False.","message":"The 'verbose' parameter in fit() is deprecated and may be removed in future versions.","severity":"deprecated","affected_versions":">=0.6"},{"fix":"Set discrete_threshold to the number of discrete values for categorical targets or leave as default (10).","message":"skrebate uses 'discrete_threshold' parameter for binarizing continuous features into discrete states for some algorithms. Incorrect setting can lead to poor feature rankings.","severity":"gotcha","affected_versions":"all"}],"env_vars":null,"last_verified":"2026-05-01T00:00:00.000Z","next_check":"2026-07-30T00:00:00.000Z","problems":[{"fix":"Ensure you installed skrebate (pip install skrebate) and import from 'skrebate' (not 'sklearn' or 'scikit-rebate').","cause":"Attempted import from the wrong package or wrong spelling. Possibly confused with 'sklearn' or old version.","error":"ImportError: cannot import name 'ReliefF' from 'skrebate'"},{"fix":"Run 'pip install skrebate'. If using Anaconda, try 'conda install -c conda-forge skrebate'.","cause":"Package not installed or installed in a different environment.","error":"ModuleNotFoundError: No module named 'skrebate'"},{"fix":"Set n_neighbors to a positive integer (e.g., 10).","cause":"Instantiating ReliefF with n_neighbors=0 or negative.","error":"ValueError: n_neighbors should be >= 1, got 0"},{"fix":"Remove the verbose argument from fit().","cause":"Using verbose parameter in newer versions where it was removed.","error":"TypeError: fit() got an unexpected keyword argument 'verbose'","affected_versions":">=0.6"}],"ecosystem":"pypi","meta_description":null,"install_score":null,"install_tag":null,"quickstart_score":null,"quickstart_tag":null}