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

Application examples

Note

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

• Building load forecasting: Hospital in SF
• Renewable Energy: Forecasting hourly solar irradiance
• Forecasting energy load with visualization

Migrate From Prophet

• Migration from Prophet
• Prophet to TorchProphet