Examples

Here you will find some example notebooks to get more familiar with the API.

darts intro

You will find below an example Jupyter notebook containing an intro to the usage of darts.

Multiple Time Series, Pre-trained Models and Covariates

You will find below an example Jupyter notebook showcasing models trained on multiple time series, pre-trained models, and the usage of covariates.

Data (pre) Processing

You will find below an example Jupyter notebook showcasing the data processing abilities of darts.

Fast Fourier Transform

You will find below an example Jupyter notebook showcasing the usage of the FFT model

Recurrent Neural Networks

You will find below an example Jupyter notebook showcasing the usage of the RNN model

Temporal Convolutional Networks

You will find below an example Jupyter notebook showcasing the usage of the TCN model

Transformer Model

You will find below an example Jupyter notebook showcasing the usage of the Transformer model

N-BEATS Model

You will find below an example Jupyter notebook showcasing the usage of the N-BEATS model

DeepAR Model

You will find below an example Jupyter notebook showcasing the usage of the DeepAR model

DeepTCN Model

You will find below an example Jupyter notebook showcasing the usage of the DeepTCN model

Kalman Filter Model

You will find below an example Jupyter notebook showcasing the usage of the Kalman filter model

Gaussian Process Filter Model

You will find below an example Jupyter notebook showcasing the usage of the Gaussian Process filter model