{"package":"r-flowml","ecosystem":"conda","latest_version":"0.1.3","description":"Provides functionality to perform machine-learning-based modeling in a computation pipeline. Its functions contain the basic steps of machine-learning-based knowledge discovery workflows, including model training and optimization, model evaluation, and model testing. To perform these tasks, the package builds heavily on existing machine-learning packages, such as 'caret' <https://github.com/topepo/caret/> and associated packages. The package can train multiple models, optimize model hyperparameters by performing a grid search or a random search, and evaluates model performance by different metrics. Models can be validated either on a test data set, or in case of a small sample size by k-fold cross validation or repeated bootstrapping. It also allows for 0-Hypotheses generation by performing permutation experiments. Additionally, it offers methods of model interpretation and item categorization to identify the most informative features from a high dimensional data space. The functions of this package can easily be integrated into computation pipelines (e.g. 'nextflow' <https://www.nextflow.io/>) and hereby improve scalability, standardization, and re-producibility in the context of machine-learning.","license":"GPL-3.0-or-later","license_risk":"unknown","commercial_use_notes":"verify manually — license not parseable / not declared.","homepage":"https://github.com/Boehringer-Ingelheim/flowml","repository":"","downloads_weekly":75,"health":{"score":43,"risk":"high","breakdown":{"maintenance":10,"popularity":0,"security":25,"maturity":6,"community":2},"deprecated":false,"max_score":100},"vulnerabilities":{"count":0,"critical":0,"high":0,"medium":0,"low":0,"details":[]},"versions":{"latest":"0.1.3","total_count":2,"recent":["0.1.2","0.1.3"]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":"2023-10-17 12:13:43.091000+00:00","last_published":"2025-09-23 11:32:57.435000+00:00","dependencies_count":0,"dependencies":[]},"github_stats":null,"bundle":null,"typescript":null,"known_issues":{"bugs_count":0,"bugs_severity":{},"status_breakdown":{},"link":null,"scope":"none"},"historical_compromise":null,"recommendation":{"action":"safe_to_use","issues":[],"use_version":"0.1.3","version_hint":null,"summary":"r-flowml@0.1.3 is safe to use (health: 43/100)"},"version_scoped":null,"requested_version":null,"_cache":"miss","_response_ms":266,"_powered_by":"depscope.dev — free package intelligence for AI agents","typosquat":{"is_suspected":false},"maintainer_trust":{"available":false},"malicious":{"is_malicious":false},"scorecard":{"available":false},"quality":{"available":false},"version_history_summary":{"total_versions":2,"first_release_age_days":925,"last_release_days_ago":218,"avg_days_between_releases":925,"release_velocity":"moderate"}}