Model Connectors

This section explains which models are available in the Myst Platform


Note on Missing Data

For all models, when training, observations are dropped when targets are null. For MLP, Elastic Net, Extra Trees Regression, Linear Regression, and Random Forest Regression, observations with null features are also dropped.

XGBoost and LightGBM offer parameters to control whether they fit or predict on null features.

In general, nulls at prediction time result in null values at that timestamp in the forecast.