{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/5"}],"enrichment":{"capability":"Fits beta calibration models to classifier outputs, transforming predicted probabilities into better-calibrated confidence estimates.","skillfed_tags":["calibration","classifier-tuning"],"use_cases":["Recalibrate neural network or ensemble classifier probabilities to improve confidence reliability in production systems.","Adjust predicted probabilities from imbalanced classifiers to better reflect true class likelihood.","Post-process classifier outputs when you need well-calibrated confidence scores for decision-making.","Improve probability estimates from models trained on small datasets where calibration is often poor."],"what_it_does":"Betacal provides a BetaCalibration class that fits probabilistic calibration models to classifier predictions. It takes predicted probabilities from a classifier and learns a transformation that maps them to better-calibrated confidence estimates, useful when you need reliable probability outputs rather than just class predictions.\n\nThe package depends on numpy for numerical operations and scikit-learn for machine learning utilities. It is designed as a post-processing step: you train your classifier separately, then use betacal to recalibrate its probability outputs on a validation set before applying it to test data.","worth_installing":"Yes, if you need classifier calibration and can tolerate dormant maintenance. The package is lightweight, has no known vulnerabilities, and solves a specific problem well. However, verify compatibility with your numpy and scikit-learn versions before relying on it in production, given the last release was April 2021."},"id":"betacal","links":{"html":"https://skillfed.io/packages/betacal","md":"https://skillfed.io/packages/betacal.md","pypi":"https://pypi.org/project/betacal/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2021-04-01","license_spdx":null,"license_treatment":"permissive","name":"betacal","python_support":"unspecified","summary":"Beta calibration"},"popularity":{"monthly_downloads":423794,"position":6768,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.1.0"}