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| Plugin / developer | Category | Follow |
|---|---|---|
ML RefereeSandra CarricoEvaluate candidate features for supervised machine learning and forecasting. Publisher capabilities · listing Feature evaluation Bounded feature repair Research prioritization Show in context →4 more matching sourcesPublisher full description Evaluate up to 1,000 candidate features in one run. ML Referee provides independent evidence for feature selection, bounded model repair, and research prioritization without requiring a separate ablation run per feature. For machine-learning researchers and practitioners working with supervised prediction or forecasting, it checks submitted inputs,… Show in context →Publisher keywords · listing machine-learning feature-selection forecasting model-evaluation Show in context →Publisher description Evaluate candidate features for supervised machine learning and forecasting. Show in context → |
Developer ToolsVersion 1.0.0 | View details → |
App Development by AIRPAI Research PlusApp Development by AIRP (AI Research Plus) helps you develop mobile and web apps properly, from requirements to release. It writes requir... Publisher keywords · listing …requirements non functional requirements nonfunctional requirements user story acceptance criteria feature prioritization moscow prioritization release plan release planning sprint planning product backlog backlog grooming story points estimate story points software estimation effort estimation project est… Show in context →1 more matching sourcesPublisher keywords · package …requirements non functional requirements nonfunctional requirements user story acceptance criteria feature prioritization moscow prioritization release plan release planning sprint planning product backlog backlog grooming story points estimate story points software estimation effort estimation project est… Show in context → |
Developer ToolsVersion 1.1.0 | View details → |
Customer Feedback AnalyzerThe Doers Firm Publisher description Analyze feedback and feature requests into evidence-linked themes, needs, and prioritization options. Show in context →1 more matching sourcesPublisher full description Analyze customer comments, support notes, interviews, surveys, and feature requests. Organize themes, uncover underlying needs, identify duplicate or conflicting requests, compare segments, and create transparent prioritization options linked to evidence and business goals. Recommendations support human product judgment; they do not decide the roadmap. Show in context → |
Business & OperationsVersion 0.1.1 | View details → |
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