{"library":"mlxtend","type":"library","category":null,"description":"mlxtend is a Python library of useful tools for machine learning tasks, offering a diverse range of functionality including feature selection, frequent pattern mining, model stacking, and plotting utilities. It builds upon popular libraries like scikit-learn, NumPy, and pandas. The current version is 0.24.0, and it maintains an active release cadence, frequently pushing updates for bug fixes and compatibility with its core dependencies.","language":"python","status":"active","version":"0.24.0","tags":["machine learning","feature engineering","model stacking","ensemble learning","pattern mining","data preprocessing","visualization"],"install":[{"cmd":"pip install mlxtend","imports":["from mlxtend.classifier import StackingClassifier","from mlxtend.feature_selection import SequentialFeatureSelector","from mlxtend.plotting import plot_decision_regions","from mlxtend.preprocessing import TransactionEncoder","from mlxtend.frequent_patterns import apriori","from mlxtend.frequent_patterns import association_rules"]}],"homepage":"https://rasbt.github.io/mlxtend/","github":"https://github.com/rasbt/mlxtend","docs":"https://rasbt.github.io/mlxtend","changelog":null,"pypi":"https://pypi.org/project/mlxtend/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":17.5,"avg_import_s":4.48,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/mlxtend/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}