What is UpTrain?
It is an open-source ML refinement tool for you to understand how your models are working in production. It monitors your model performance and data distributions as the model performs prediction on real-world data.
UpTrain is a tool in the Machine Learning Tools category of a tech stack.
UpTrain is an open source tool with 2K GitHub stars and 167 GitHub forks. Here’s a link to UpTrain's open source repository on GitHub
UpTrain Integrations
Microsoft Azure, Google Cloud Platform, Amazon Web Services (AWS), TensorFlow, and PyTorch are some of the popular tools that integrate with UpTrain. Here's a list of all 6 tools that integrate with UpTrain.
UpTrain's Features
- Data Drift Checks - identify distribution shifts in your model inputs
- Performance Monitoring - track the performance of your models in realtime and get alerted as soon as a dip is observed
- Edge Case Signals - user-defined signals and statistical techniques to detect out-of-distribution data-points
- Data Integrity Checks - checks for missing or inconsistent data, duplicate records, data quality, etc
- Customizable metrics - define custom metrics that make sense for your use case
- Automated Retraining - automate model retraining by attaching your training and inference pipelines
- Model Bias - track popularity bias in your recommendation models
- Data Security - your data never goes out of your machine
UpTrain Alternatives & Comparisons
What are some alternatives to UpTrain?
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