Deepchecks is a comprehensive MLOps solution for continuous validation of ML systems. It’s designed to help various stakeholders gain control of their ML systems, including data science leaders, ML engineers, analysts, software engineers, and more.
Observability of ML in production
Deepchecks provides a customizable dashboard, that enables you to view and explore all of the relevant real-time metrics related to your ML systems.
Alerting about various issues in live ML systems
Deepchecks analyzes the inputs and outputs of your ML systems in real time, and alerts you about various issues related to data drift, data integrity, etc.
Quick Querying of problematic production data
Deepchecks enables you to always be one click away from running code on the relevant production data.
Detecting Mismatches between research and production environments
Deepchecks connects both to the training data and the production data, and notifies you about mismatches related to the data scheme, distributions, etc.
Validation Of training data and ML model
Deepchecks automatically analyzes the data and the model, detecting potential pitfalls before the model is deployed into production.
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