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 Development & Training Tools category of a tech stack.
Key Features
Data Drift Checks - identify distribution shifts in your model inputsPerformance Monitoring - track the performance of your models in realtime and get alerted as soon as a dip is observedEdge Case Signals - user-defined signals and statistical techniques to detect out-of-distribution data-pointsData Integrity Checks - checks for missing or inconsistent data, duplicate records, data quality, etcCustomizable metrics - define custom metrics that make sense for your use caseAutomated Retraining - automate model retraining by attaching your training and inference pipelinesModel Bias - track popularity bias in your recommendation modelsData Security - your data never goes out of your machine
UpTrain Pros & Cons
Pros of UpTrain
No pros listed yet.
Cons of UpTrain
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UpTrain Alternatives & Comparisons
What are some alternatives to UpTrain?
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
PyTorch
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
