Configure and train models
This page walks through how to configure, train, and tune machine learning models on your labeled dataset in Studio.
Model training progress stages
Once you have configured your model and kicked off training, the model progress bar will display the different stages of the modeling training process. These wi...
View and analyze model results
This page walks through the model results and metrics that are available in the Models pane. The Analysis pane provides additional charts, metrics, and guidance...
Model training in the SDK
The Snorkel Flow SDK is the most flexible way to integrate with any modeling pipeline. The SDK provides functionality for training custom models by using traini...
Supported modeling libraries
This page describes the three major modeling libraries that Snorkel Flow supports: Scikit-Learn, XGBoost, and HuggingFace’s Transformers. If you think that your...