Domino training sets contain the initial data used for training your machine learning models. A
TrainingSet is a versioned set of data, column information, and other metadata.
Use Domino Training Sets to persist dataframes for model training and other analysis. You can store and load multiple versions of a given dataframe from a training set so you can connect a model to the specific version of a dataframe that was used to train it.
The dataframe used as the basis for a Training Set can be constructed with the result of a Domino Data Source query (as described previously) or through any other construction method.
In addition to storing the underlying dataframe, training sets can be used to capture additional monitoring metadata. When this additional data is present, Training Set versions will be available as sources of baseline training data when publishing model APIs in Domino.
Training sets are only scoped to the projects in which they are created. Users with project contributor permissions can create, load, and delete Training Set versions in that project.
Training sets are available as an API-only feature.
The following is a list of