Training a model

Required workspace permission: Configure, train, and export models
When you finish configuring the model, you can train it.
Running the training from Tonic
To train a model, either:
On the Models view, click the Train option for the model.
On the model details view, click Train Model.
To view a list of training jobs:
In the workspace navigation bar, click Jobs. The Job History view lists the training jobs for all of the models in the workspace. To display the details for a job, click the job ID.
On the Models view, click the model row. The model details contains the list of training jobs that were run for that model. See Reviewing the training results.
Using code to train the model
You can also use the Tonic Python API to generate code to train the model.
The standard model library allows you to configure and train a model.
The reporting library allows you to assess the fidelity and privacy of a trained model.

Last modified 2mo ago