Feature guides

Note

The feature guides show how to use specific features of NeuralProphet in detail. For more basic examples, see the tutorial section.

• Collect Predictions
• Testing and Cross Validation
• Plotting
• Global Local Modelling
• Uncertainty Quantification
• Conditional Seasonality
• Multiplicative Seasonality
• Sparse Autoregression
• Subdaily data
• Hyperparameter Selection
• MLflow Integration
• Live Plotting during Training
• Network Architecture Visualization

Application examples

Note

Here you can find examples of how to use NeuralProphet on different datasets.

• Power Demand: Forecasting Load for a Hospital in SF
• Renewable Energy: Forecasting Solar
• Forecasting energy load with visualization

Migrate From Prophet

• Migration from Prophet
• Prophet to TorchProphet