A better way to monitor ML models

NannyML Cloud is a web-based solution for monitoring machine learning models. It is based on the open-source NannyML python library.

• Estimate model performance — Know the performance of your ML models 24/7. NannyML estimates the performance of your ML models. Even if the ground truth is delayed or absent.
• Measure the business impact of your models — Tie the performance of your model to monetary or business oriented outcomes. So that you always know what your ML brings to the table.
• Avoid alert fatigue — Traditional ML monitoring tend to overwhelm teams with many false alarms. By focusing on what matters NannyML alerts are always meaningful.

• Root Cause Analysis — Our univariate drift detection methods allow to perform a granular investigation across the model's features.
• Uncover the most subtle changes in the data structure — Leverage multivariate drift detection method uncover changes that univariate approaches cannot detect.
• Intelligent alert ranking — NannyML links back data drift alerts to changes in the model performance. So you can easily detect which features are causing the performances issues.

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